Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
Numba now runs entirely in the browser through JupyterLite, compiling Python functions to WebAssembly with a new LLVM-based execution engine and delivering substantial performance gains without a server. The work also unlocks browser-native support for the broader Numba ecosystem, including PyMC, PyTensor, and other scientific computing libraries.
https://notebook.link/blog/numba-in-the-browser/
Numba now runs entirely in the browser through JupyterLite, compiling Python functions to WebAssembly with a new LLVM-based execution engine and delivering substantial performance gains without a server. The work also unlocks browser-native support for the broader Numba ecosystem, including PyMC, PyTensor, and other scientific computing libraries.
https://notebook.link/blog/numba-in-the-browser/
notebook.link
Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite | Notebook.link Documentation
A JIT compiler and its scientific Python ecosystem running entirely in the Web browser
๐2
python-game-server
A lightweight server and framework for turn-based multiplayer games.
https://github.com/feberts/python-game-server
A lightweight server and framework for turn-based multiplayer games.
https://github.com/feberts/python-game-server
GitHub
GitHub - feberts/python-game-server: A lightweight server and framework for turn-based multiplayer games
A lightweight server and framework for turn-based multiplayer games - feberts/python-game-server
๐ฅ2
key-amnesia
Let your AI agent use your passwords and API keys - without ever letting it see them.
https://github.com/fujitoid/key-amnesia
Let your AI agent use your passwords and API keys - without ever letting it see them.
https://github.com/fujitoid/key-amnesia
GitHub
GitHub - fujitoid/key-amnesia: Let your AI agent use your passwords and API keys - without ever letting it see them
Let your AI agent use your passwords and API keys - without ever letting it see them - fujitoid/key-amnesia
Prototype on a laptop, scale to 16 billion rows: one Polars query
The post shows how to prototype a data pipeline locally on 97 million Polymarket orderbook rows, then run the same LazyFrame queries on 16 billion rows using distributed execution. The pipeline pre-aggregates the raw data into small Parquet artifacts in S3 that power a responsive Plotly Dash dashboard without scanning the full dataset on each request.
https://pola.rs/posts/market-data-to-plotly-enterprise-dashboard/
The post shows how to prototype a data pipeline locally on 97 million Polymarket orderbook rows, then run the same LazyFrame queries on 16 billion rows using distributed execution. The pipeline pre-aggregates the raw data into small Parquet artifacts in S3 that power a responsive Plotly Dash dashboard without scanning the full dataset on each request.
https://pola.rs/posts/market-data-to-plotly-enterprise-dashboard/
Polars
Prototype on a laptop, scale to 16 billion rows: one Polars query
Explore a subset of Polymarket orderbook data locally, then run the exact same Polars query on 16 billion rows with Polars Cloud and serve it with Plotly Dash.
jsonfold: Making Pretty-Printed JSON Compact and Readable in Python
jsonfold is a streaming post-filter that compacts pretty-printed JSON by folding small arrays and objects onto single lines while preserving existing serializers and custom encoders. It processes JSON incrementally without reparsing the document, keeping additional memory usage bounded while producing more compact, human-readable output for large JSON files.
https://medium.com/@yair.lenga/a-streaming-json-formatter-that-works-with-existing-serializers-eced220da37d
jsonfold is a streaming post-filter that compacts pretty-printed JSON by folding small arrays and objects onto single lines while preserving existing serializers and custom encoders. It processes JSON incrementally without reparsing the document, keeping additional memory usage bounded while producing more compact, human-readable output for large JSON files.
https://medium.com/@yair.lenga/a-streaming-json-formatter-that-works-with-existing-serializers-eced220da37d
Medium
jsonfold: Making Pretty-Printed JSON Compact and Readable in Python
A Python streaming post-filter for compact, human-readable JSON with configurable formatting behavior.
centaur
Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids.
https://github.com/paradigmxyz/centaur
Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids.
https://github.com/paradigmxyz/centaur
GitHub
GitHub - paradigmxyz/centaur: Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open sourceโฆ
Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids. - paradigmxyz/centaur
Comfy-Org / ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
https://github.com/Comfy-Org/ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
https://github.com/Comfy-Org/ComfyUI
GitHub
GitHub - Comfy-Org/ComfyUI: The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - Comfy-Org/ComfyUI
pyhctsa
The most comprehensive time-series feature extraction package in Python.
https://github.com/DynamicsAndNeuralSystems/pyhctsa
The most comprehensive time-series feature extraction package in Python.
https://github.com/DynamicsAndNeuralSystems/pyhctsa
GitHub
GitHub - DynamicsAndNeuralSystems/pyhctsa: The most comprehensive time-series feature extraction package in Python.
The most comprehensive time-series feature extraction package in Python. - DynamicsAndNeuralSystems/pyhctsa
django-waffle - the best Feature Flipper for Django!
This is an introduction to django-waffle, a production-ready Django package for controlling feature rollouts through flags, switches, and sampling. It enables gradual releases, A/B testing, and quick kill switches for features that need to be disabled without redeploying
https://www.youtube.com/watch?v=K-Y9XHEZwU8
This is an introduction to django-waffle, a production-ready Django package for controlling feature rollouts through flags, switches, and sampling. It enables gradual releases, A/B testing, and quick kill switches for features that need to be disabled without redeploying
https://www.youtube.com/watch?v=K-Y9XHEZwU8
YouTube
django-waffle - the best Feature Flipper for Django!
โถ Django & HTMX FULL COURSE: https://www.udemy.com/course/django-htmx-hypermedia-web-apps/?couponCode=BUGBYTES-26
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Tencent opensource AI Red Teaming platform
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
https://github.com/tencent/AI-Infra-Guard
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
https://github.com/tencent/AI-Infra-Guard
GitHub
GitHub - Tencent/AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scanโฆ
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation. - Tencent/AI-Infra-Guard
Lians
Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state, and know what is ready for human review.
https://github.com/Lians-ai/Lians
Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state, and know what is ready for human review.
https://github.com/Lians-ai/Lians
GitHub
GitHub - Lians-ai/Lians: Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checksโฆ
Evidence-backed proof of done for Claude Code, Codex, Cursor, and other AI coding agents. Run real checks, bind results to current Git state, and know what is ready for human review. - Lians-ai/Lians