factory_boy
canopy
factory_boy | canopy | |
---|---|---|
3 | 14 | |
3,408 | 883 | |
0.6% | 6.0% | |
6.9 | 9.8 | |
13 days ago | 11 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
factory_boy
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Embracing Modern Python for Web Development
Factory Boy doesn't currently support asynchronous operations, but there is an async-factory-boy extension with enough async support for most use cases. There is also an open pull request in Factory Boy with recent updates (July 2023) that will hopefully be merged soon.
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Testing files in Python like a pro
You can use it with Faker and factory_boy (for ORM integration).
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Five Easy to Miss PostgreSQL Query Performance Bottlenecks
When releasing a new application (or feature) I've always loaded each table in my development environments database with a few million rows. Tools like Python's Factory Boy [1] or Ruby's Factory Bot [2] make this trivial.
After the data is loaded up, start navigating through the application and it will become evident where improvements need to be made. Tools like Django Debug Toolbar [3] help expose where the bad ORM calls are or also by tailing Postgres log files.
[1] https://github.com/FactoryBoy/factory_boy
canopy
- FLaNK AI Weekly for 29 April 2024
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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
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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.
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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.
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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
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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
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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).
What are some alternatives?
mixer - Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.
ragna - RAG orchestration framework ⛵️
model_mommy
tiger - Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)
PyRestTest - Python Rest Testing
simple-pgvector-python - An Abstraction Using a similar API to Pinecone but implemented with pgvector python
callee - Argument matchers for unittest.mock
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
Selenium Wire - Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.
mlx-examples - Examples in the MLX framework
mqtt-explorer - MQTT Explorer - MQTT Subscriber client to explore topic hierarchies
tonic_validate - Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.