canopy
Protractor
canopy | Protractor | |
---|---|---|
14 | 19 | |
883 | 8,760 | |
6.0% | -0.0% | |
9.8 | 0.0 | |
11 days ago | 12 months ago | |
Python | JavaScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
canopy
- FLaNK AI Weekly for 29 April 2024
-
How to choose the right type of database
Pinecone: A scalable vector database service that facilitates efficient similarity search in high-dimensional spaces. Ideal for building real-time applications in AI, such as personalized recommendation engines and content-based retrieval systems.
- Show HN: R2R – Open-source framework for production-grade RAG
-
Using Stripe Docs in your RAG pipeline with LlamaIndex
In this post we’ll build a Python script that uses StripeDocs Reader, a loader on LlamaIndex, that creates vector embeddings of Stripe's documentation in Pinecone. This allows a user to ask questions about Stripe Docs to an LLM, in this case OpenAI, and receive a generated response.
-
7 Vector Databases Every Developer Should Know!
Pinecone is a managed vector database service that simplifies the process of building and scaling vector search applications. It offers a simple API for embedding vector search into applications, providing accurate, scalable similarity search with minimal setup and maintenance.
-
Using Vector Embeddings to Overengineer 404 pages
In case of AIMD, I am doing this all in-memory, but you could also do this in a database (e.g. Pinecone). It all depends on how much data you have and how much compute you have available.
- Pinecone: Build Knowledgeable AI
-
How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving to meet the new challenge.
- FLaNK Stack Weekly 11 Dec 2023
-
Embracing Modern Python for Web Development
In the dynamic world of web development, Python has emerged as a dominant force, especially in backend development – the primary focus of this blog post. Although it's worth mentioning that there are ongoing efforts to use Python for the frontend as well, like Reflex (previously known as Pynecone, they presumably had to change their name because of Pinecone vector database), which even garnered support from Y Combinator. Samuel Colvin (creator of Pydantic) is also working on FastUI (he literally just released the first version in December 2023).
Protractor
-
Introduction to Cypress and UI Test Automation
Cypress is a next-generation front-end Automation testing tool built for modern web applications. It is a JavaScript-based end-to-end testing framework and is known for faster test execution as compared with other testing tools (like Selenium or Protractor).
-
Overview over Angular’s repositories
Protractor repo (link)
-
Nx 14.5 - Cypess v10, Output globs, Linter perf, React Tailwind support
Protractor has been deprecated for a while on the Angular CLI side and given Nx has had Cypress support for a while it has never been a popular choice. Starting with this release we're deprecating the generator for setting up Protractor and we're planning on removing support entirely in Nx v15.
-
Angular CLI and Nx - Why?
In recent releases, the Angular CLI kept reducing its feature set, mainly due to tools such as Protractor as well as TSLint being deprecated. As a result, starting with Angular 14, the Angular CLI provides the following when generating a new application:
-
Help with automatization
The Protractor testing framework was created for e2e testing of Angular apps. https://www.protractortest.org/
- Unit testing library for Angular application
-
Protractor is dead, long live Cypress! - Part 1
Future of Angular E2E & Plans for Protractor · Issue #5502 · angular/protractor
-
Angular 12 in Depth
In April, the Angular team has announced plans to end the support of Protractor at the end of 2022.
-
Looking for some advise/direction on a new testing framework
"The Angular team plans to end development of Protractor at the end of 2022 (in conjunction with Angular v15)." - https://github.com/angular/protractor/issues/5502
-
What UI testing framework do you use and what do you like/dislike about it?
Angular will deprecate Protractor soon https://github.com/angular/protractor/issues/5502
What are some alternatives?
ragna - RAG orchestration framework ⛵️
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
tiger - Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
WebdriverIO - Next-gen browser and mobile automation test framework for Node.js
simple-pgvector-python - An Abstraction Using a similar API to Pinecone but implemented with pgvector python
TestCafe - A Node.js tool to automate end-to-end web testing.
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
jest - Delightful JavaScript Testing.
mlx-examples - Examples in the MLX framework
Cypress - Fast, easy and reliable testing for anything that runs in a browser.
tonic_validate - Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
Nightmare - A high-level browser automation library.