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📌 Spotted on GitHub Trending: tursodatabase/turso — let's break it down.
🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database, compatible with SQLite, written in Rust. It offers key features like
To get started, you can install the latest
The Turso Database has a wide range of use cases, from simple embedded databases to complex, distributed systems. Its technical highlights include SQLite compatibility, multi-version concurrency control, and support for various programming languages.
Whether you're a developer, data scientist, or simply looking for a reliable database solution, Turso Database is an excellent choice. With its active community and extensive documentation, you'll find all the resources you need to get started and succeed.
Turso Database is for anyone looking for a fast, reliable, and scalable database solution - join the community and experience the power of Turso today! Take the leap and discover a database that's truly designed for the future!
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🔗 https://github.com/tursodatabase/turso
📝 Turso is an in-process SQL database, compatible with SQLite.
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The Turso Database is an in-process SQL database, compatible with SQLite, written in Rust. It offers key features like
BEGIN CONCURRENT for improved write throughput, change data capture for real-time tracking, and multi-language support for languages such as Go, JavaScript, Java, .NET, Python, and Rust.To get started, you can install the latest
turso release or build and run the latest development version. The database provides an interactive shell where you can execute SQL statements. It also supports asynchronous I/O, cross-platform compatibility, and vector support.The Turso Database has a wide range of use cases, from simple embedded databases to complex, distributed systems. Its technical highlights include SQLite compatibility, multi-version concurrency control, and support for various programming languages.
Whether you're a developer, data scientist, or simply looking for a reliable database solution, Turso Database is an excellent choice. With its active community and extensive documentation, you'll find all the resources you need to get started and succeed.
Turso Database is for anyone looking for a fast, reliable, and scalable database solution - join the community and experience the power of Turso today! Take the leap and discover a database that's truly designed for the future!
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Github Top Repositories
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🔍 Deep-diving into DeusData/codebase-memory-mcp — fresh off the trending list.
🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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Unlock the Power of Code Intelligence: The
With high-quality parsing through tree-sitter AST analysis and
Key features include extreme indexing speed, plug-and-play functionality, support for 158 languages, and built-in graph visualization. The engine also offers advanced features like dead code detection, cross-service linking, and infrastructure-as-code indexing.
The
One-liner takeaway: Supercharge your coding workflow with codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents.
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🔗 https://github.com/DeusData/codebase-memory-mcp
📝 High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
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Unlock the Power of Code Intelligence: The
codebase-memory-mcp GitHub repository offers a revolutionary code intelligence engine designed for AI coding agents. This powerful tool can full-index an average repository in milliseconds and the Linux kernel in just 3 minutes, answering structural queries in under 1ms. With high-quality parsing through tree-sitter AST analysis and
Hybrid LSP semantic type resolution for 9 languages, it produces a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. The engine ships as a single static binary for macOS, Linux, and Windows, making it easy to download and install.Key features include extreme indexing speed, plug-and-play functionality, support for 158 languages, and built-in graph visualization. The engine also offers advanced features like dead code detection, cross-service linking, and infrastructure-as-code indexing.
The
codebase-memory-mcp is designed for developers, researchers, and anyone looking to unlock the full potential of their codebase. With its ease of use, flexibility, and powerful features, it's an essential tool for anyone working with code.One-liner takeaway: Supercharge your coding workflow with codebase-memory-mcp, the fastest and most efficient code intelligence engine for AI coding agents.
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📌 Spotted on GitHub Trending: google-research/timesfm — let's break it down.
🔗 https://github.com/google-research/timesfm
📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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The TimesFM repository on GitHub is home to a pretrained time-series foundation model developed by Google Research. This model is designed for time-series forecasting, and its key features include support for continuous quantile forecasting and a range of configuration options. To get started, you can install the
The repository includes a range of examples and documentation, including a fine-tuning example using HuggingFace Transformers and a code example that demonstrates how to use the model for forecasting. The model has been used in a variety of applications, including Google's BigQuery ML and Google Sheets.
From a technical perspective, the model is implemented in both PyTorch and Flax, and supports a range of hardware accelerators. The code is well-organized and includes a range of tests and examples to help you get started.
The TimesFM model is suitable for a range of audiences, including data scientists and machine learning engineers who are interested in time-series forecasting. Whether you're looking to build a forecasting model from scratch or simply want to use a pre-trained model for your own applications, TimesFM is definitely worth checking out.
In short, TimesFM is a powerful tool for time-series forecasting that's easy to use and highly customizable - give it a try and see what it can do for you!
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🔗 https://github.com/google-research/timesfm
📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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The TimesFM repository on GitHub is home to a pretrained time-series foundation model developed by Google Research. This model is designed for time-series forecasting, and its key features include support for continuous quantile forecasting and a range of configuration options. To get started, you can install the
timesfm package from PyPI using pip install timesfm[torch] or pip install timesfm[flax]. The repository includes a range of examples and documentation, including a fine-tuning example using HuggingFace Transformers and a code example that demonstrates how to use the model for forecasting. The model has been used in a variety of applications, including Google's BigQuery ML and Google Sheets.
From a technical perspective, the model is implemented in both PyTorch and Flax, and supports a range of hardware accelerators. The code is well-organized and includes a range of tests and examples to help you get started.
The TimesFM model is suitable for a range of audiences, including data scientists and machine learning engineers who are interested in time-series forecasting. Whether you're looking to build a forecasting model from scratch or simply want to use a pre-trained model for your own applications, TimesFM is definitely worth checking out.
In short, TimesFM is a powerful tool for time-series forecasting that's easy to use and highly customizable - give it a try and see what it can do for you!
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⚡ twentyhq/twenty is making waves. Here's the full picture.
🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty repository is home to an open-source CRM that's highly customizable. Its key features include defining objects, fields, and views as code, building custom apps, and utilizing version control. To get started, you can
The repository uses a tech stack that includes TypeScript, Nx, NestJS, PostgreSQL, Redis, React, Jotai, Linaria, and Lingui. This project is ideal for technical teams seeking a flexible CRM solution. Overall, Twenty allows teams to build and ship custom CRMs with ease. Start building your custom CRM today!
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🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty repository is home to an open-source CRM that's highly customizable. Its key features include defining objects, fields, and views as code, building custom apps, and utilizing version control. To get started, you can
npx create-twenty-app my-app to scaffold a new app and then define objects as code, like so:import { defineObject, FieldType } from 'twenty-sdk/define';
export default defineObject({
nameSingular: 'deal',
namePlural: 'deals',
labelSingular: 'Deal',
labelPlural: 'Deals',
fields: [
{ name: 'name', label: 'Name', type: FieldType.TEXT },
{ name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
{ name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
],
});
The repository uses a tech stack that includes TypeScript, Nx, NestJS, PostgreSQL, Redis, React, Jotai, Linaria, and Lingui. This project is ideal for technical teams seeking a flexible CRM solution. Overall, Twenty allows teams to build and ship custom CRMs with ease. Start building your custom CRM today!
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Github Top Repositories
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📌 Spotted on GitHub Trending: Kong/insomnia — let's break it down.
🔗 https://github.com/Kong/insomnia
📝 The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
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Insomnia is an open-source, cross-platform API client that supports various protocols like GraphQL, REST, WebSockets, and more. With Insomnia, you can debug, design, test, and mock APIs, as well as build CI/CD pipelines and collaborate with others. It offers multiple storage options, including
The tool is available for Mac, Windows, and Linux, and can be downloaded from the official website. Insomnia has a generous free plan, and also offers premium features and support for users who need more advanced capabilities.
The project is developed using
Whether you're an API developer, tester, or just someone who loves working with APIs, Insomnia is the perfect tool for you: it's the ultimate API client that helps you work smarter, not harder.
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🔗 https://github.com/Kong/insomnia
📝 The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
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Insomnia is an open-source, cross-platform API client that supports various protocols like GraphQL, REST, WebSockets, and more. With Insomnia, you can debug, design, test, and mock APIs, as well as build CI/CD pipelines and collaborate with others. It offers multiple storage options, including
Local Vault, Git Sync, and Cloud Sync, allowing you to choose how you want to store your projects and data. The tool is available for Mac, Windows, and Linux, and can be downloaded from the official website. Insomnia has a generous free plan, and also offers premium features and support for users who need more advanced capabilities.
The project is developed using
Node.js and Git, and contributors are welcome to participate. Insomnia is licensed under Apache-2.0, and its documentation is available on the official website.Whether you're an API developer, tester, or just someone who loves working with APIs, Insomnia is the perfect tool for you: it's the ultimate API client that helps you work smarter, not harder.
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