Gitpod is an open-source #k8s application providing fully-baked, collaborative development environments in your browser - powered by VS Code.
Tightly integrated with GitLab, GitHub, and Bitbucket, Gitpod automatically and continuously prebuilds dev environments for all your branches. As a result, team members can instantly start coding with fresh, ephemeral and fully-compiled dev environments - no matter if you are building a new feature, want to fix a bug or do a code review.
Features:
- Dev environment as code
- Prebuilt dev environments - automatically prepare environments on every Git push
- Professional developer experience in a browser tab (VS Code Extensions, full Linux terminals)
- Integrated Docker build
- GitLab, GitHub, and Bitbucket integration
- Integrated code reviews
- Snapshots - Snapshot any state of your dev environment and let others create clones
- Collaboration - Invite team members to your environments
- Gitpod CLI to automate your experience
https://github.com/gitpod-io/gitpod
#ts #go #devops
Tightly integrated with GitLab, GitHub, and Bitbucket, Gitpod automatically and continuously prebuilds dev environments for all your branches. As a result, team members can instantly start coding with fresh, ephemeral and fully-compiled dev environments - no matter if you are building a new feature, want to fix a bug or do a code review.
Features:
- Dev environment as code
- Prebuilt dev environments - automatically prepare environments on every Git push
- Professional developer experience in a browser tab (VS Code Extensions, full Linux terminals)
- Integrated Docker build
- GitLab, GitHub, and Bitbucket integration
- Integrated code reviews
- Snapshots - Snapshot any state of your dev environment and let others create clones
- Collaboration - Invite team members to your environments
- Gitpod CLI to automate your experience
https://github.com/gitpod-io/gitpod
#ts #go #devops
Litmus helps Kubernetes SREs and developers practice chaos engineering in a Kubernetes native way.
Litmus is a toolset to do cloud-native chaos engineering. Litmus provides tools to orchestrate chaos on #k8s to help SREs find weaknesses in their deployments. SREs use Litmus to run chaos experiments initially in the staging environment and eventually in production to find bugs, vulnerabilities. Fixing the weaknesses leads to increased resilience of the system.
Litmus takes a cloud-native approach to create, manage and monitor chaos. Chaos is orchestrated using the following Kubernetes Custom Resource Definitions (CRDs):
- ChaosEngine: A resource to link a Kubernetes application or Kubernetes node to a ChaosExperiment. ChaosEngine is watched by Litmus' Chaos-Operator which then invokes Chaos-Experiments
- ChaosExperiment: A resource to group the configuration parameters of a chaos experiment. ChaosExperiment CRs are created by the operator when experiments are invoked by ChaosEngine.
- ChaosResult: A resource to hold the results of a chaos-experiment. The Chaos-exporter reads the results and exports the metrics into a configured Prometheus server.
Chaos experiments are hosted on hub.litmuschaos.io. It is a central hub where the application developers or vendors share their chaos experiments so that their users can use them to increase the resilience of the applications in production.
https://github.com/litmuschaos/litmus
#docker #devops #ts #go
Litmus is a toolset to do cloud-native chaos engineering. Litmus provides tools to orchestrate chaos on #k8s to help SREs find weaknesses in their deployments. SREs use Litmus to run chaos experiments initially in the staging environment and eventually in production to find bugs, vulnerabilities. Fixing the weaknesses leads to increased resilience of the system.
Litmus takes a cloud-native approach to create, manage and monitor chaos. Chaos is orchestrated using the following Kubernetes Custom Resource Definitions (CRDs):
- ChaosEngine: A resource to link a Kubernetes application or Kubernetes node to a ChaosExperiment. ChaosEngine is watched by Litmus' Chaos-Operator which then invokes Chaos-Experiments
- ChaosExperiment: A resource to group the configuration parameters of a chaos experiment. ChaosExperiment CRs are created by the operator when experiments are invoked by ChaosEngine.
- ChaosResult: A resource to hold the results of a chaos-experiment. The Chaos-exporter reads the results and exports the metrics into a configured Prometheus server.
Chaos experiments are hosted on hub.litmuschaos.io. It is a central hub where the application developers or vendors share their chaos experiments so that their users can use them to increase the resilience of the applications in production.
https://github.com/litmuschaos/litmus
#docker #devops #ts #go
Collection of #ts type challenges with online judge.
High quality types can help with projects' maintainability and avoiding bugs. There are a bunch of awesome type utilities libraries may boosting your works on types, like ts-toolbelt, utility-types, SimplyTyped, etc. We took a lot of inspiration from.
This project is aim to make you better understand how the type system works, writing your own utilities, or just having fun with the challenges. We are also trying to form a community that you can ask and answer questions you have faced in realworld - they may become part the challenges as well!
Challenges start with very simple ones and go to complex tasks.
https://github.com/type-challenges/type-challenges
High quality types can help with projects' maintainability and avoiding bugs. There are a bunch of awesome type utilities libraries may boosting your works on types, like ts-toolbelt, utility-types, SimplyTyped, etc. We took a lot of inspiration from.
This project is aim to make you better understand how the type system works, writing your own utilities, or just having fun with the challenges. We are also trying to form a community that you can ask and answer questions you have faced in realworld - they may become part the challenges as well!
Challenges start with very simple ones and go to complex tasks.
https://github.com/type-challenges/type-challenges
Effector: The state manager.
Effector is an effective multi-store state manager for #js apps (#react/React Native/#vue/Node.js), that allows you to manage data in complex applications without the risk of inflating the monolithic central store, with clear control flow, good type support and high capacity API. Effector supports both #ts and Flow type annotations out of the box.
Effector follows five basic principles:
- Application stores should be as light as possible - the idea of adding a store for specific needs should not be frightening or damaging to the developer.
- Application stores should be freely combined - data that the application needs can be statically distributed, showing how it will be converted in runtime.
- Autonomy from controversial concepts - no decorators, no need to use classes or proxies - this is not required to control the state of the application and therefore the api library uses only functions and plain js objects
- Predictability and clarity of API - a small number of basic principles are reused in different cases, reducing the user's workload and increasing recognition. For example, if you know how .watch works for events, you already know how .watch works for stores.
- The application is built from simple elements - space and way to take any required business logic out of the view, maximizing the simplicity of the components.
https://github.com/zerobias/effector
Effector is an effective multi-store state manager for #js apps (#react/React Native/#vue/Node.js), that allows you to manage data in complex applications without the risk of inflating the monolithic central store, with clear control flow, good type support and high capacity API. Effector supports both #ts and Flow type annotations out of the box.
Effector follows five basic principles:
- Application stores should be as light as possible - the idea of adding a store for specific needs should not be frightening or damaging to the developer.
- Application stores should be freely combined - data that the application needs can be statically distributed, showing how it will be converted in runtime.
- Autonomy from controversial concepts - no decorators, no need to use classes or proxies - this is not required to control the state of the application and therefore the api library uses only functions and plain js objects
- Predictability and clarity of API - a small number of basic principles are reused in different cases, reducing the user's workload and increasing recognition. For example, if you know how .watch works for events, you already know how .watch works for stores.
- The application is built from simple elements - space and way to take any required business logic out of the view, maximizing the simplicity of the components.
https://github.com/zerobias/effector
Playwright CLI is utility tool for Playwright.
With the CLI, you can:
- Generate code: Record user interactions and generate Playwright scripts.
- Open pages: Open pages in Chromium, Firefox and WebKit (Safari) on all platforms.
- Emulate devices, color schemes and geolocation.
- Inspect selectors: Use the Playwright DevTools API to inspect selectors.
- Generate page screenshots and PDFs
https://github.com/microsoft/playwright-cli
#ts
With the CLI, you can:
- Generate code: Record user interactions and generate Playwright scripts.
- Open pages: Open pages in Chromium, Firefox and WebKit (Safari) on all platforms.
- Emulate devices, color schemes and geolocation.
- Inspect selectors: Use the Playwright DevTools API to inspect selectors.
- Generate page screenshots and PDFs
https://github.com/microsoft/playwright-cli
#ts
A SQL database implemented purely in TypeScript type annotations.
This means that it operates solely on #ts types - you define a "database" (just a type annotation) and then query it using some more type annotations.
It supports a subset of #sql, including SELECT (with conditions and joins), INSERT, UPDATE and DELETE statements.
Personal opinion: crazy and super cool!
https://github.com/codemix/ts-sql
This means that it operates solely on #ts types - you define a "database" (just a type annotation) and then query it using some more type annotations.
It supports a subset of #sql, including SELECT (with conditions and joins), INSERT, UPDATE and DELETE statements.
Personal opinion: crazy and super cool!
https://github.com/codemix/ts-sql
visx | visualization components for #react
visx is a collection of reusable low-level visualization components. visx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM.
https://github.com/airbnb/visx
#ts
visx is a collection of reusable low-level visualization components. visx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM.
https://github.com/airbnb/visx
#ts
A simple encoding of higher-kinded types in TypeScript.
TypeScript doesn't directly support higher-kinded types yet, but various attempts have been made to simulate them (see related work at the bottom). This project presents a new, greatly simplified approach to encoding HKTs using the power of conditional types.
The idea is that, although we can't truly abstract over a type constructor type
https://github.com/pelotom/hkts
#ts
TypeScript doesn't directly support higher-kinded types yet, but various attempts have been made to simulate them (see related work at the bottom). This project presents a new, greatly simplified approach to encoding HKTs using the power of conditional types.
The idea is that, although we can't truly abstract over a type constructor type
T<A> = ..., we can abstract over the result T<_> of applying it to a special placeholder type . Then, if we can somehow substitute all instances of within a type, we effectively have the ability to "apply" T at arbitrary types. That is, we can abstract over T! And it turns out we can define a substitution operator $<T, S> which does just that.https://github.com/pelotom/hkts
#ts
A type-safe query builder for TypeScript and Postgres.
Features:
- Type-safe query builder - sticking as close to SQL as possible
- BYOCP (bring your own connection pool)
- Supports Postgres only
- Excellent autocomplete
- Train case to camelCase and vice versa conversion
- Auto-migration generation based on your schema changes
- Awesome CLI to run your migrations
https://github.com/Ff00ff/mammoth
#ts
Features:
- Type-safe query builder - sticking as close to SQL as possible
- BYOCP (bring your own connection pool)
- Supports Postgres only
- Excellent autocomplete
- Train case to camelCase and vice versa conversion
- Auto-migration generation based on your schema changes
- Awesome CLI to run your migrations
https://github.com/Ff00ff/mammoth
#ts
Deno + React: No build, no bundle, all streaming
Ultra is a web framework that leans hard into your browser's native features. Embrace the future of ES Modules, Import Maps, and Web Streams. All while supporting some of the non-standards that many normal people love for some reason (JSX and TypeScript).
It's driven by the following hot-takes:
- ESM is non-negotiable in {currentYear}
- SSR is non-negotiable in {currentYear}
- Bundling is an anti-pattern in {currentYear}
- Data can be requested anywhere, and is accessible on the server, always
- Lazy routing with dynamic imports trumps FS routing
- Less magic in tooling and frameworks is a good thing
- Simplify your workflow and tech stack at all costs - life is too short
- Streams are neat
https://github.com/exhibitionist-digital/ultra
Personal opinion: this looks exciting! I am in deno's hypetrain for almost a year now and I love to see new cool use-cases.
#deno #react #js #ts
Ultra is a web framework that leans hard into your browser's native features. Embrace the future of ES Modules, Import Maps, and Web Streams. All while supporting some of the non-standards that many normal people love for some reason (JSX and TypeScript).
It's driven by the following hot-takes:
- ESM is non-negotiable in {currentYear}
- SSR is non-negotiable in {currentYear}
- Bundling is an anti-pattern in {currentYear}
- Data can be requested anywhere, and is accessible on the server, always
- Lazy routing with dynamic imports trumps FS routing
- Less magic in tooling and frameworks is a good thing
- Simplify your workflow and tech stack at all costs - life is too short
- Streams are neat
https://github.com/exhibitionist-digital/ultra
Personal opinion: this looks exciting! I am in deno's hypetrain for almost a year now and I love to see new cool use-cases.
#deno #react #js #ts
kbar is a simple plug-n-play React component to add a fast, portable, and extensible command+k interface to your site.
Command+k interfaces are used to create a web experience where any type of action users would be able to do via clicking can be done through a command menu.
With macOS's Spotlight and Linear's command+k experience in mind, kbar aims to be a simple abstraction to add a fast and extensible command+k menu to your site.
Features:
- Built in animations and fully customizable components
- Keyboard navigation support; e.g. ctrl n / ctrl p for the navigation wizards
- Keyboard shortcuts support for registering keystrokes to specific actions; e.g. hit t for Twitter
- Nested actions enable creation of rich navigation experiences; e.g. hit backspace to navigate to the previous action
- A simple data structure which enables anyone to easily build their own custom components
https://github.com/timc1/kbar
#react #js #ts
Command+k interfaces are used to create a web experience where any type of action users would be able to do via clicking can be done through a command menu.
With macOS's Spotlight and Linear's command+k experience in mind, kbar aims to be a simple abstraction to add a fast and extensible command+k menu to your site.
Features:
- Built in animations and fully customizable components
- Keyboard navigation support; e.g. ctrl n / ctrl p for the navigation wizards
- Keyboard shortcuts support for registering keystrokes to specific actions; e.g. hit t for Twitter
- Nested actions enable creation of rich navigation experiences; e.g. hit backspace to navigate to the previous action
- A simple data structure which enables anyone to easily build their own custom components
https://github.com/timc1/kbar
#react #js #ts
👍1
Open-source platform that brings an Airtable experience for your database and allows you to build any automation or cloud functions for your product.
Manage Firestore data in a spreadsheet-like UI, write Cloud Functions effortlessly in the browser, and connect to your favorite third party platforms such as SendGrid, Twilio, Algolia, Slack and more.
Features:
- Powerful spreadsheet interface for Firestore
- Supercharge your database with cloud functions and ready made extension: use APIs or NPM modules
- Rich and flexible data fields: more that 30 different types
- Collaborate with your team
https://github.com/rowyio/rowy
#ts
Manage Firestore data in a spreadsheet-like UI, write Cloud Functions effortlessly in the browser, and connect to your favorite third party platforms such as SendGrid, Twilio, Algolia, Slack and more.
Features:
- Powerful spreadsheet interface for Firestore
- Supercharge your database with cloud functions and ready made extension: use APIs or NPM modules
- Rich and flexible data fields: more that 30 different types
- Collaborate with your team
https://github.com/rowyio/rowy
#ts