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Top 23 Python Framework Projects
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Project mention: Why everyone is talking about loop-engineering and how is it changing agentic ai workflows? Claude Code and Web Scraping examples | dev.to | 2026-06-10
Think about what a mature scraping project already contains. There is a schema that every item must validate against. There are field coverage thresholds, because a run where only 60% of products have prices is a failed run no matter what the exit code says. There are expected item counts, error rate ceilings, and finish reason checks. In the Scrapy world we even have a dedicated framework for all of this, and I wrote about it earlier this year in my post on giving spidey-senses to your spiders with Spidermon. Here is the reframe that I cannot stop thinking about: a Spidermon monitor suite is a rubric. Our community spent a decade encoding "what good data looks like" into machine-checkable criteria, because silent failure is scraping's oldest enemy, the spider that runs green for three weeks while quietly shipping garbage. We built the evaluator long before we had a generator capable of acting on its feedback. Every other field adopting loop engineering has to invent its definition of done from scratch. We just have to plug ours in. The missing piece was never detection. It was what happens after detection, which until now was a human reading an alert, opening the site, sighing at the redesign, and rewriting selectors. Models like Fable 5, which Anthropic says can work autonomously far longer than any previous Claude model, are finally good enough to sit inside that gap. John Rooney saw early versions of this pattern when he built scraping agents for 30 days, and the lesson that stuck with me from his series is that agents fail not from lack of capability but from lack of structure around them. Loops are that structure.
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If you've spent any time trying to build a "real" agent system in 2026, you know the pattern: start with a single LLM call. Add tool calling. Add memory — which kind? Conversation buffer? Vector store? Knowledge graph? Add a sandbox — host or Docker or Firecracker? Add sub-agents — now you need a message bus, run state, and somebody to own cancellation. Six months later you have a worse version of LangGraph + Open Interpreter + AutoGen glued together with duct tape.
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quivr
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
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If you've spent any time trying to build a "real" agent system in 2026, you know the pattern: start with a single LLM call. Add tool calling. Add memory — which kind? Conversation buffer? Vector store? Knowledge graph? Add a sandbox — host or Docker or Firecracker? Add sub-agents — now you need a message bus, run state, and somebody to own cancellation. Six months later you have a worse version of LangGraph + Open Interpreter + AutoGen glued together with duct tape.
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textual
Lean TUI application framework for Python. Build sophisticated terminal user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Project mention: [type='CNAME'] crashed my Textual TUI: why escaping user text isn't enough | dev.to | 2026-06-28That front end is a terminal UI built with Textual and Rich. It lists incoming messages and renders the selected one as a chat bubble. The catch is that the message bodies are not clean strings I wrote. They are whatever a session decided to send: shell output, stack traces, Terraform plans, ticket IDs. The TUI has to render arbitrary text from outside my control. That is the detail that turned out to matter.
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Reflex is an open-source full-stack web framework written in and for Python that lets you build both frontend UI and backend logic in pure Python, i.e., you don’t need to manually write JavaScript or separately manage a React/Vue frontend and a separate backend.
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Project mention: Securing OpenAI Agents SDK Against Memory Poisoning (ASI06) Using Pydantic Field Validators | dev.to | 2026-05-19
This post shows the idiomatic way to defend against it in the OpenAI Agents SDK, using the SDK's own Pydantic context architecture. The integration pattern was validated in a public thread with an OpenAI SDK maintainer.
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If you are setting up a similar lightweight developer blog with MkDocs Material, this should save you a couple of hours.
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Apprise isn't a notification server itself — it's a notification gateway that can route alerts to 100+ services simultaneously. Send one notification and have it delivered to Slack, Discord, email, SMS, Matrix, Telegram, and your self-hosted ntfy or Gotify instance.
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Glasswing is cool. Open-source frameworks like CAI are making progress — but mostly on the offensive side, using LLMs for penetration testing and vulnerability research. On the defensive side, the tooling barely exists. There's no open-source equivalent for the kind of adaptive monitoring and response I'm describing here.
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Project mention: Wanted to spy on my dog, ended up spying on TP-Link | news.ycombinator.com | 2025-09-15
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Project mention: Backtesting Trading Strategies in Python: The Complete Guide for Developers | dev.to | 2026-07-07
When you outgrow a single-file script, backtesting.py is the cleanest open-source framework for event-driven testing with built-in optimization heatmaps, and it stays compatible with the pandas skills you already have. Backtrader and VectorBT are the other two serious options, trading simplicity for power in different directions.
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PraisonAI
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
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Project mention: Flower Labs: AI Is Evolving from Isolated Silos to Collaborative Networks | news.ycombinator.com | 2026-06-24
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I use Qiling [0] (built on top of Unicorn) sometimes for this kind of things (it can take application snapshots, that you can restore; and you can also use something similar to x86/x86-64 memory hardware breakpoints too). Might fit what you want, although it can sometimes be in a pain in the rear to set up...
[0] https://github.com/qilingframework/qiling
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Framework discussion
Python Framework related posts
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Introducing Aquilia
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Wait... FDE Is Not a JavaScript Framework?
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I scoped a multi-agent TUI system in January. It sat dead for 4 months. Here is the comeback.
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SOC-in-a-Box: One LLM, Eight Hats, A Production-Bar AI SOC on a Single GPU
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Securing OpenAI Agents SDK Against Memory Poisoning (ASI06) Using Pydantic Field Validators
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An AI agent resource pack is more than a prompt
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3..2..1 Launch!: My journey from zero to Django Contributions
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A note from our sponsor - SaaSHub
www.saashub.com | 16 Jul 2026
Index
What are some of the best open-source Framework projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | fastapi | 100,296 |
| 2 | Django | 88,200 |
| 3 | Scrapy | 63,095 |
| 4 | autogen | 59,636 |
| 5 | llama_index | 50,763 |
| 6 | quivr | 39,185 |
| 7 | langgraph | 36,921 |
| 8 | textual | 36,574 |
| 9 | python-telegram-bot | 29,290 |
| 10 | reflex | 28,646 |
| 11 | openai-agents-python | 27,792 |
| 12 | mkdocs-material | 27,087 |
| 13 | serve | 21,858 |
| 14 | sanic | 18,629 |
| 15 | apprise | 16,859 |
| 16 | memU | 14,008 |
| 17 | cai | 9,419 |
| 18 | objection | 9,259 |
| 19 | backtesting.py | 8,667 |
| 20 | PraisonAI | 8,451 |
| 21 | Graphene | 8,236 |
| 22 | flower | 7,025 |
| 23 | qiling | 6,006 |
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