Best practice to save some variable in between calls? (no session, no db)
Hello,
I am using Flask to build a desktop app, together with pywebview and other libraries. It's a desktop app, so there will be only one user (it uses the camera, a second screen, tensorflow, opencv, so not something that would be moved to the cloud). I use pywebview to take advantage of the web browser to display a nice interface and use SVG canvas a lot. That's for the context.
Now, there are a lot of internal variables that I track between the different calls to Flask routes. At the beginning I tried to used sessions to record them, but many object are to big in size to store in session, and many are not appropriately serialized to store in cookies (like a keras model for instance). So at the moment, I just store them as global variables, and use the \`global\` keyword here and there to modify their content.
It works fine, but it does not look good. What would be the best practices to store and reuse those variables in my specific case?
Edit: Eventually, I ended up wrapping all those variable in the Flask application variable. Something like this:
```
class Application(Flask):
def __init__(self, *args, **kwargs):
/r/flask
https://redd.it/1gkuggn
Hello,
I am using Flask to build a desktop app, together with pywebview and other libraries. It's a desktop app, so there will be only one user (it uses the camera, a second screen, tensorflow, opencv, so not something that would be moved to the cloud). I use pywebview to take advantage of the web browser to display a nice interface and use SVG canvas a lot. That's for the context.
Now, there are a lot of internal variables that I track between the different calls to Flask routes. At the beginning I tried to used sessions to record them, but many object are to big in size to store in session, and many are not appropriately serialized to store in cookies (like a keras model for instance). So at the moment, I just store them as global variables, and use the \`global\` keyword here and there to modify their content.
It works fine, but it does not look good. What would be the best practices to store and reuse those variables in my specific case?
Edit: Eventually, I ended up wrapping all those variable in the Flask application variable. Something like this:
```
class Application(Flask):
def __init__(self, *args, **kwargs):
/r/flask
https://redd.it/1gkuggn
Reddit
From the flask community on Reddit
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I finally found a currently-maintained version of Whoosh, a text search library
Sygil-Dev/whoosh-reloaded: Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
Whoosh 3.0.0 documentation — Whoosh-Reloaded 3.0.0 documentation
/r/Python
https://redd.it/1gm8ovf
Sygil-Dev/whoosh-reloaded: Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
Whoosh 3.0.0 documentation — Whoosh-Reloaded 3.0.0 documentation
/r/Python
https://redd.it/1gm8ovf
GitHub
GitHub - Sygil-Dev/whoosh-reloaded: Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python.
Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. - Sygil-Dev/whoosh-reloaded
Feature Friday: The querystring tag!
Today's Feature Friday is about
The new
Previously, if you wanted to add or change a single value in the query string, you would need to write a lot of code:
{# Linebreaks added for readability, this should be one, long line. #}
<a href="?{% for key, values in request.GET.iterlists %}
{% if key != "page" %}
{% for value in values %}
{{ key }}={{ value }}&
{% endfor %}
{% endif %}
{% endfor %}page={{ page.nextpagenumber }}">Next page</a>
With
{% querystring page=http://page.nextpagenumber %}
The
/r/django
https://redd.it/1gmjgep
Today's Feature Friday is about
{% querystring %}!The new
{% querystring %} template tag in Django 5.1 makes it easier to access and modify the query string in your Django templates, letting you work with links that use query parameters.Previously, if you wanted to add or change a single value in the query string, you would need to write a lot of code:
{# Linebreaks added for readability, this should be one, long line. #}
<a href="?{% for key, values in request.GET.iterlists %}
{% if key != "page" %}
{% for value in values %}
{{ key }}={{ value }}&
{% endfor %}
{% endif %}
{% endfor %}page={{ page.nextpagenumber }}">Next page</a>
With
{% querystring %} you can replace all of that with this single line:{% querystring page=http://page.nextpagenumber %}
The
{% querystring %} tag is particularly useful for things like filters and pagination—where you want to pass through most of the query parameters but modify one/r/django
https://redd.it/1gmjgep
🎉 Introducing dj-data-generator! 🎉
We’re thrilled to announce the release of dj-data-generator, a new tool designed to simplify generating customizable test data for Django projects. Whether you’re setting up demo environments, populating databases for testing, or running performance tests, dj-data-generator offers efficient, built-in support to meet your needs—all without third-party packages.
Key Features:
\- Generate any number of records for your project models and save them directly to the database with a simple django command
\- Easy customization for model fields
\- Handles unique and related fields
Check it out, and let us know what you think! Feedback, contributions, and suggestions are welcome as we continue to build.
📥 Check it out on PyPI:
https://pypi.org/project/dj-data-generator/
💻 Source Code and Docs on GitHub:
https://github.com/Lazarus-org/dj-data-generator
/r/django
https://redd.it/1gmj9nl
We’re thrilled to announce the release of dj-data-generator, a new tool designed to simplify generating customizable test data for Django projects. Whether you’re setting up demo environments, populating databases for testing, or running performance tests, dj-data-generator offers efficient, built-in support to meet your needs—all without third-party packages.
Key Features:
\- Generate any number of records for your project models and save them directly to the database with a simple django command
\- Easy customization for model fields
\- Handles unique and related fields
Check it out, and let us know what you think! Feedback, contributions, and suggestions are welcome as we continue to build.
📥 Check it out on PyPI:
https://pypi.org/project/dj-data-generator/
💻 Source Code and Docs on GitHub:
https://github.com/Lazarus-org/dj-data-generator
/r/django
https://redd.it/1gmj9nl
PyPI
dj-data-generator
A package for generating fake data
Choosing a Backend Framework for ML Prediction and Matching
Hey, if you’re going with some ML for prediction and matching—nothing very complicated—and implementing it in a web app, what sort of backend framework should I use, and what workflow should I implement? Usually, I’ve worked with Express.js.
/r/django
https://redd.it/1gme0iv
Hey, if you’re going with some ML for prediction and matching—nothing very complicated—and implementing it in a web app, what sort of backend framework should I use, and what workflow should I implement? Usually, I’ve worked with Express.js.
/r/django
https://redd.it/1gme0iv
Reddit
From the django community on Reddit
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A search engine for all your memes (v2.0 updates)
The app is open source 👉 https://github.com/neonwatty/meme\_search
# What My Project Does
The open source engine indexes your memes by their visual content and text, making them easily searchable. Drag and drop recovered memes into any messager.
Addittional features rolling out with the new "pro" version include:
1. Auto-Generate Meme Descriptions: Target specific memes for auto-description generation (instead of applying to your entire directory).
2. Manual Meme Description Editing: Edit or add descriptions manually for better search results, no need to wait for auto-generation if you don't want to.
3. Tags: Create, edit, and assign tags to memes for better organization and search filtering.
4. Faster Vector Search: Powered by Postgres and pgvector, enjoy faster keyword and vector searches with streamlined database transactions.
5. Keyword Search: Pro adds traditional keyword search in addition to semantic/vector search.
6. Directory Paths: Organize your memes across multiple subdirectories—no need to store everything in one folder.
7. New Organizational Tools: Filter by tags, directory paths, and description embeddings, plus toggle between keyword and vector search for more control.
# Target Audience
This is a toy project. Open source and made for fun.
# Comparison
immich: great open source image organizer
other local photo apps: some allow for indexing but not quite
/r/Python
https://redd.it/1gmkv55
The app is open source 👉 https://github.com/neonwatty/meme\_search
# What My Project Does
The open source engine indexes your memes by their visual content and text, making them easily searchable. Drag and drop recovered memes into any messager.
Addittional features rolling out with the new "pro" version include:
1. Auto-Generate Meme Descriptions: Target specific memes for auto-description generation (instead of applying to your entire directory).
2. Manual Meme Description Editing: Edit or add descriptions manually for better search results, no need to wait for auto-generation if you don't want to.
3. Tags: Create, edit, and assign tags to memes for better organization and search filtering.
4. Faster Vector Search: Powered by Postgres and pgvector, enjoy faster keyword and vector searches with streamlined database transactions.
5. Keyword Search: Pro adds traditional keyword search in addition to semantic/vector search.
6. Directory Paths: Organize your memes across multiple subdirectories—no need to store everything in one folder.
7. New Organizational Tools: Filter by tags, directory paths, and description embeddings, plus toggle between keyword and vector search for more control.
# Target Audience
This is a toy project. Open source and made for fun.
# Comparison
immich: great open source image organizer
other local photo apps: some allow for indexing but not quite
/r/Python
https://redd.it/1gmkv55
GitHub
GitHub - neonwatty/meme-search: The open source Meme Search Engine. Free and built to self-host locally with Python, Ruby, and…
The open source Meme Search Engine. Free and built to self-host locally with Python, Ruby, and Docker. - neonwatty/meme-search
How do i test my web app.
I am making an reddit like app in flask. Everything seems fine but i can not think a way to test every views and database. My question is how do you guys test your flask app. Give me some suggestions. Thanks in advance.
/r/flask
https://redd.it/1gml4mx
I am making an reddit like app in flask. Everything seems fine but i can not think a way to test every views and database. My question is how do you guys test your flask app. Give me some suggestions. Thanks in advance.
/r/flask
https://redd.it/1gml4mx
Reddit
From the flask community on Reddit
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I'd like your opinions on how to organize my template files. I've come up with a structure, haven't fully tried it yet. Let me know what you think.
So I've been working with django for a few months now,
and I've been thinking a lot about a good way of organizing my templates and projects.
This is just a thought and I plan to refactor a project or two to see if it meshes well with this,
but here's what I'm thinking: limiting every app's templates to strictly adhere to
the following folder structure.
components
- component_x_folder
- componentx.py
- componentx.js
- componentx.css
- templatex.html
...
includes
- include_x_folder
- includex.html
...
widgets
- [widgetxfolder]
- widgetx.html
...
layouts
- sections
/r/django
https://redd.it/1gmw3cl
So I've been working with django for a few months now,
and I've been thinking a lot about a good way of organizing my templates and projects.
This is just a thought and I plan to refactor a project or two to see if it meshes well with this,
but here's what I'm thinking: limiting every app's templates to strictly adhere to
the following folder structure.
components
- component_x_folder
- componentx.py
- componentx.js
- componentx.css
- templatex.html
...
includes
- include_x_folder
- includex.html
...
widgets
- [widgetxfolder]
- widgetx.html
...
layouts
- sections
/r/django
https://redd.it/1gmw3cl
Reddit
From the django community on Reddit
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Saturday Daily Thread: Resource Request and Sharing! Daily Thread
# Weekly Thread: Resource Request and Sharing 📚
Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!
## How it Works:
1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.
## Guidelines:
Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.
## Example Shares:
1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.
## Example Requests:
1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.
Share the knowledge, enrich the community. Happy learning! 🌟
/r/Python
https://redd.it/1gmwz92
# Weekly Thread: Resource Request and Sharing 📚
Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!
## How it Works:
1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.
## Guidelines:
Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.
## Example Shares:
1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.
## Example Requests:
1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.
Share the knowledge, enrich the community. Happy learning! 🌟
/r/Python
https://redd.it/1gmwz92
YouTube
Data Structures and Algorithms in Python - Full Course for Beginners
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
🔗 Course…
🔗 Course…
Human Approval Layer to Monitor LLM Agent in Production | Phantasm
Links: [GitHub](https://github.com/phantasmlabs/phantasm) | [PyPI](https://pypi.org/project/phantasmpy/)
**What My Project Does**
Hi everyone!
In the past month or so, I've been building Phantasm. Phantasm offers toolkits to add a human approval layer to monitor LLM agent's workflow in real-time. This allows deployed LLM agent to seek human approvers before executing a certain function.
An example use case for Phantasm:
Let's say, I built an LLM agent that can automatically draft and send email. As an approver, I could make sure that the email content and recipient are correct before the agent actually send the email.
This allows you to build and deploy LLM agent faster as you can monitor their action on the fly.
**Target Audience**
We are still early in development but we have some team we work with to rapidly improve this project to enterprise standard.
The perfect audience for this project would be a small team building an LLM agent.
**Comparison**
* Fully open-source with a custom server and dashboard that you can self-host.
* Comes with a Python SDK for you integrate the approval workflow to your LLM agent.
* Load balancing approval requests to multiple approvers to accomodate growing teams.
If you think this will be helpful for you, feel free to check it out! If you have any feedback
/r/Python
https://redd.it/1gmvfav
Links: [GitHub](https://github.com/phantasmlabs/phantasm) | [PyPI](https://pypi.org/project/phantasmpy/)
**What My Project Does**
Hi everyone!
In the past month or so, I've been building Phantasm. Phantasm offers toolkits to add a human approval layer to monitor LLM agent's workflow in real-time. This allows deployed LLM agent to seek human approvers before executing a certain function.
An example use case for Phantasm:
Let's say, I built an LLM agent that can automatically draft and send email. As an approver, I could make sure that the email content and recipient are correct before the agent actually send the email.
This allows you to build and deploy LLM agent faster as you can monitor their action on the fly.
**Target Audience**
We are still early in development but we have some team we work with to rapidly improve this project to enterprise standard.
The perfect audience for this project would be a small team building an LLM agent.
**Comparison**
* Fully open-source with a custom server and dashboard that you can self-host.
* Comes with a Python SDK for you integrate the approval workflow to your LLM agent.
* Load balancing approval requests to multiple approvers to accomodate growing teams.
If you think this will be helpful for you, feel free to check it out! If you have any feedback
/r/Python
https://redd.it/1gmvfav
GitHub
GitHub - phantasmlabs/phantasm: Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in…
Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time. - phantasmlabs/phantasm
Flask app returning 404 bad request for body with "\"
400 Bad Request: The browser (or proxy) sent a request that this server could not understand.
So, on the flask app I am working on, I need to send the body like {"msg":"\\ hi"}.
This returns an issue:
. Can anybody explain why this happens and what is the solution?
/r/flask
https://redd.it/1gmgc5g
400 Bad Request: The browser (or proxy) sent a request that this server could not understand.
So, on the flask app I am working on, I need to send the body like {"msg":"\\ hi"}.
This returns an issue:
. Can anybody explain why this happens and what is the solution?
/r/flask
https://redd.it/1gmgc5g
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Project Idea, Is this worth doing?
hi, my name is Joel , I am a uk based software engineer.
I have been working on an idea, using JS and a REST API in Django. the general gist of it is that it is using the canvas and added in functionality to allow users to design a functional webpage where they can choose buttons and redirects make queries and send and receive data, and use stripe to sell subscriptions or products. Basic website stuff. the webapp would include this, but also a team dashboard and hub for people to collaborate and find people who would be interested in making these webpages for business purposes. I'm thinking of letting the custom webpages leverage google maps for increased utility. I also would like to add GPT assistance features for if people want to use them on there custom webpages
Is this all too much for one application? any feedback would be appreciated.
I'm also open to any interested to help me out on what's left of the project, I have no qualms sharing credit or anything thereafter
/r/django
https://redd.it/1gn0b1f
hi, my name is Joel , I am a uk based software engineer.
I have been working on an idea, using JS and a REST API in Django. the general gist of it is that it is using the canvas and added in functionality to allow users to design a functional webpage where they can choose buttons and redirects make queries and send and receive data, and use stripe to sell subscriptions or products. Basic website stuff. the webapp would include this, but also a team dashboard and hub for people to collaborate and find people who would be interested in making these webpages for business purposes. I'm thinking of letting the custom webpages leverage google maps for increased utility. I also would like to add GPT assistance features for if people want to use them on there custom webpages
Is this all too much for one application? any feedback would be appreciated.
I'm also open to any interested to help me out on what's left of the project, I have no qualms sharing credit or anything thereafter
/r/django
https://redd.it/1gn0b1f
Reddit
From the django community on Reddit
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Best way to generate a single page PDF using selected items from current page in MkDocs
Let's say i have a page in MkDocs that has a several paragraphs of text together with a checklist.
I now want the user to be able to click a button, and generate a PDF with just the checklist on it. I do not want the paragraphs of text to print, and I want to be able to control how the checklist looks on paper vs the screen (e.g. change font font size).
Is there a tool or plug-in that would be suitable for this type of use case?
Thank you!
/r/django
https://redd.it/1gmusyz
Let's say i have a page in MkDocs that has a several paragraphs of text together with a checklist.
I now want the user to be able to click a button, and generate a PDF with just the checklist on it. I do not want the paragraphs of text to print, and I want to be able to control how the checklist looks on paper vs the screen (e.g. change font font size).
Is there a tool or plug-in that would be suitable for this type of use case?
Thank you!
/r/django
https://redd.it/1gmusyz
Reddit
From the django community on Reddit
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Mesa 3.0: A major update to Python's Agent-Based Modeling library 🎉
Hi everyone! We're very proud to just have released a major update of our Agent-Based Modeling library: [Mesa 3.0](https://github.com/projectmesa/mesa/releases/tag/v3.0.0). It's our biggest release yet, with some really cool improvements to make agent-based modeling more intuitive, flexible and powerful.
## What's Agent-Based Modeling?
Ever wondered how bird flocks organize themselves? Or how traffic jams form? Agent-based modeling (ABM) lets you simulate these complex systems by defining simple rules for individual "agents" (birds, cars, people, etc.) and then watching how they interact. Instead of writing equations to describe the whole system, you model each agent's behavior and let patterns emerge naturally through their interactions. It's particularly powerful for studying systems where individual decisions and interactions drive collective behavior.
## What's Mesa?
Mesa is Python's leading framework for agent-based modeling, providing a comprehensive toolkit for creating, analyzing, and visualizing agent-based models. It combines Python's scientific stack (NumPy, pandas, Matplotlib) with specialized tools for handling spatial relationships, agent scheduling, and data collection. Whether you're studying epidemic spread, market dynamics, or ecological systems, Mesa provides the building blocks to create sophisticated simulations while keeping your code clean and maintainable.
## What's New in 3.0?
The headline feature is the new agent management system, which brings pandas-like functionality to agent handling:
```python
# Find
/r/Python
https://redd.it/1gn5q8z
Hi everyone! We're very proud to just have released a major update of our Agent-Based Modeling library: [Mesa 3.0](https://github.com/projectmesa/mesa/releases/tag/v3.0.0). It's our biggest release yet, with some really cool improvements to make agent-based modeling more intuitive, flexible and powerful.
## What's Agent-Based Modeling?
Ever wondered how bird flocks organize themselves? Or how traffic jams form? Agent-based modeling (ABM) lets you simulate these complex systems by defining simple rules for individual "agents" (birds, cars, people, etc.) and then watching how they interact. Instead of writing equations to describe the whole system, you model each agent's behavior and let patterns emerge naturally through their interactions. It's particularly powerful for studying systems where individual decisions and interactions drive collective behavior.
## What's Mesa?
Mesa is Python's leading framework for agent-based modeling, providing a comprehensive toolkit for creating, analyzing, and visualizing agent-based models. It combines Python's scientific stack (NumPy, pandas, Matplotlib) with specialized tools for handling spatial relationships, agent scheduling, and data collection. Whether you're studying epidemic spread, market dynamics, or ecological systems, Mesa provides the building blocks to create sophisticated simulations while keeping your code clean and maintainable.
## What's New in 3.0?
The headline feature is the new agent management system, which brings pandas-like functionality to agent handling:
```python
# Find
/r/Python
https://redd.it/1gn5q8z
GitHub
Release v3.0.0 · projectmesa/mesa
Highlights
After our most extensive pre-release program ever, we’re proud to release Mesa 3.0 as stable. Mesa 3.0 brings major improvements to agent-based modeling, making it more intuitive and pow...
After our most extensive pre-release program ever, we’re proud to release Mesa 3.0 as stable. Mesa 3.0 brings major improvements to agent-based modeling, making it more intuitive and pow...
DRF + React setup
Hi folks, im about to start my first DRF api project with a React frontend. I like to deploy early, so just thinking about how to engineer the two.
Ill be using Railway. So do i push my backend api (with cors and settings done etc ) to one repo and then deploy that to one Railway container?
The push my React frontend to another repo/railway container, and use the URL of my api container to make calls to the api?
This is what ive done with React/Pocketbase in the past.
/r/djangolearning
https://redd.it/1gmnuy3
Hi folks, im about to start my first DRF api project with a React frontend. I like to deploy early, so just thinking about how to engineer the two.
Ill be using Railway. So do i push my backend api (with cors and settings done etc ) to one repo and then deploy that to one Railway container?
The push my React frontend to another repo/railway container, and use the URL of my api container to make calls to the api?
This is what ive done with React/Pocketbase in the past.
/r/djangolearning
https://redd.it/1gmnuy3
Reddit
From the djangolearning community on Reddit
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Freeze Flask and Payment
Hi. I am currently creating static Flask websites and converting them to HTML files using Freeze Flask. I then host the websites on Bunny CDN. I create these websites for clients and one of my clients has requested a system to sell digital products. Does anyone know how I can accept payment?
/r/flask
https://redd.it/1gndsmi
Hi. I am currently creating static Flask websites and converting them to HTML files using Freeze Flask. I then host the websites on Bunny CDN. I create these websites for clients and one of my clients has requested a system to sell digital products. Does anyone know how I can accept payment?
/r/flask
https://redd.it/1gndsmi
Reddit
From the flask community on Reddit
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Separating music into notes and instruments (audio source separation)
# What My Project Does
A basic program I made to turn music into sheet music(almost). Works by recreating the Fourier transform of the music by adding together the Fourier transforms of instrument samples and comparing the envelope of the instruments to the note being played. More details on my blog: matthew-bird.com/blogs/Audio-Decomposition.html
# Target Audience
Not meant for any real life usage. Mainly just a side project, and hopefully a nice resource for someone trying to do something similar. Might also be useful for music transcription.
# Comparison
Compared to other methods out there, I think this project holds up pretty well. Most sites on the internet also seem to use AI instead of a blind source separation algorithm.
# Other Details
Instrument samples from University of Iowa Electronic Music Studios: https://theremin.music.uiowa.edu/mis.html
GitHub Repo: https://github.com/mbird1258/Audio-Decomposition
/r/Python
https://redd.it/1gnajj6
# What My Project Does
A basic program I made to turn music into sheet music(almost). Works by recreating the Fourier transform of the music by adding together the Fourier transforms of instrument samples and comparing the envelope of the instruments to the note being played. More details on my blog: matthew-bird.com/blogs/Audio-Decomposition.html
# Target Audience
Not meant for any real life usage. Mainly just a side project, and hopefully a nice resource for someone trying to do something similar. Might also be useful for music transcription.
# Comparison
Compared to other methods out there, I think this project holds up pretty well. Most sites on the internet also seem to use AI instead of a blind source separation algorithm.
# Other Details
Instrument samples from University of Iowa Electronic Music Studios: https://theremin.music.uiowa.edu/mis.html
GitHub Repo: https://github.com/mbird1258/Audio-Decomposition
/r/Python
https://redd.it/1gnajj6
Matthew-Bird
Matthew Bird - Audio Decomposition
Matthew Bird Portfolio