OpenMontage
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://github.com/calesthio/OpenMontage
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://github.com/calesthio/OpenMontage
GitHub
GitHub - calesthio/OpenMontage: World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent…
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. - calesthio/OpenMontage
NVlabs / Sana
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
https://github.com/NVlabs/Sana
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
https://github.com/NVlabs/Sana
GitHub
GitHub - NVlabs/Sana: SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer - NVlabs/Sana
Testing in Python with pytest: from the basics to advanced techniques
This comprehensive guide covers pytest from basic testing concepts to advanced techniques such as fixtures, parametrization, mocking, and asynchronous testing. It provides practical patterns for building maintainable, scalable Python test suites and leveraging pytest effectively in production environments.
https://en.andros.dev/blog/b6bf68de/testing-in-python-with-pytest-from-the-basics-to-advanced-techniques/
This comprehensive guide covers pytest from basic testing concepts to advanced techniques such as fixtures, parametrization, mocking, and asynchronous testing. It provides practical patterns for building maintainable, scalable Python test suites and leveraging pytest effectively in production environments.
https://en.andros.dev/blog/b6bf68de/testing-in-python-with-pytest-from-the-basics-to-advanced-techniques/
en.andros.dev
Testing in Python with pytest: from the basics to advanced techniques | Andros Fenollosa
I'm not going to convince you that testing is necessary — if you're reading this article, you already know that. Instead, I'll go straight to the poin
GitHub Pages alternative with native Python
This article shows how to recreate core GitHub Pages functionality using only Python's standard library, including static file serving, automated deployments, and HTTPS support. By extending http.server in just a few dozen lines of code, it demonstrates how native Python tools can power a lightweight static website hosting platform.
https://blog.klemek.fr/articles/2026-06-14/
This article shows how to recreate core GitHub Pages functionality using only Python's standard library, including static file serving, automated deployments, and HTTPS support. By extending http.server in just a few dozen lines of code, it demonstrates how native Python tools can power a lightweight static website hosting platform.
https://blog.klemek.fr/articles/2026-06-14/
blog.klemek.fr
GitHub Pages alternative with native Python
Kleπek's Blog
Symbolica
Symbolica is a high-performance computer algebra library for Python and Rust. Manipulate large expressions, match patterns, and generate optimized numerical code — at unprecedented speed.
https://github.com/symbolica-dev/symbolica
Symbolica is a high-performance computer algebra library for Python and Rust. Manipulate large expressions, match patterns, and generate optimized numerical code — at unprecedented speed.
https://github.com/symbolica-dev/symbolica
GitHub
GitHub - symbolica-dev/symbolica: Symbolica is a high-performance computer algebra library for Python and Rust. Manipulate large…
Symbolica is a high-performance computer algebra library for Python and Rust. Manipulate large expressions, match patterns, and generate optimized numerical code — at unprecedented speed. - symboli...
SkillSpector
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills.
https://github.com/NVIDIA/SkillSpector
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills.
https://github.com/NVIDIA/SkillSpector
GitHub
GitHub - NVIDIA/SkillSpector: Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks. - NVIDIA/SkillSpector
free-llm-api-keys
The easiest way to access LLM APIs for free - no credit card, no registration. Copy a key from the table below, paste it into your app, and start building.
https://github.com/alistaitsacle/free-llm-api-keys
The easiest way to access LLM APIs for free - no credit card, no registration. Copy a key from the table below, paste it into your app, and start building.
https://github.com/alistaitsacle/free-llm-api-keys
GitHub
GitHub - alistaitsacle/free-llm-api-keys: Free LLM API keys for GPT-5.5, Claude, DeepSeek, Gemini, Grok — copy, paste, use. Updated…
Free LLM API keys for GPT-5.5, Claude, DeepSeek, Gemini, Grok — copy, paste, use. Updated 3-5x daily. No credit card needed. - alistaitsacle/free-llm-api-keys
Django Internationalization - translate your app to multiple languages!
This video explains how Django's internationalization framework enables applications to support multiple languages by detecting a user's active language and serving the appropriate translations. It also demonstrates the makemessages and compilemessages commands, along with common localization approaches such as language cookies and URL-based language prefixes.
https://www.youtube.com/watch?v=PGMhsAcfPpI
This video explains how Django's internationalization framework enables applications to support multiple languages by detecting a user's active language and serving the appropriate translations. It also demonstrates the makemessages and compilemessages commands, along with common localization approaches such as language cookies and URL-based language prefixes.
https://www.youtube.com/watch?v=PGMhsAcfPpI
YouTube
Django Internationalization - translate your app to multiple languages!
▶ Django & HTMX FULL COURSE: https://www.udemy.com/course/django-htmx-hypermedia-web-apps/?couponCode=BUGBYTES-JUN
🙏 Join our channel to get access to perks:
https://www.youtube.com/channel/UCTwxaBjziKfy6y_uWu30orA/join
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲:
To support the…
🙏 Join our channel to get access to perks:
https://www.youtube.com/channel/UCTwxaBjziKfy6y_uWu30orA/join
☕️ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲:
To support the…
Ordered key sharding in DynamoDB
So, you want to keep a sorted index in DynamoDB, but for whatever reason – usually throughput-related – it won't fit on a single partition. What do you do? Today, we look at the available solutions, do the math, and find out which is best.
https://death.andgravity.com/albumtitle
So, you want to keep a sorted index in DynamoDB, but for whatever reason – usually throughput-related – it won't fit on a single partition. What do you do? Today, we look at the available solutions, do the math, and find out which is best.
https://death.andgravity.com/albumtitle
death and gravity
Ordered key sharding in DynamoDB
...in which we find out how to make a sorted index when the data doesn't fit on a single DynamoDB partition.
turbovec
A vector index built on TurboQuant, written in Rust with Python bindings.
https://github.com/RyanCodrai/turbovec
A vector index built on TurboQuant, written in Rust with Python bindings.
https://github.com/RyanCodrai/turbovec
GitHub
GitHub - RyanCodrai/turbovec: A vector index built on TurboQuant, written in Rust with Python bindings
A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec
agent-toolkit-for-aws
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS.
https://github.com/aws/agent-toolkit-for-aws
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS.
https://github.com/aws/agent-toolkit-for-aws
GitHub
GitHub - aws/agent-toolkit-for-aws: Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS - aws/agent-toolkit-for-aws
dograh-hq / dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
https://github.com/dograh-hq/dograh
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
https://github.com/dograh-hq/dograh
GitHub
GitHub - dograh-hq/dograh: Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech…
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support. -...
Scikit-learn 1.9
Scikit-learn 1.9 release is out, and it comes with solid improvements to many existing estimators, making them faster, more stable, handling missing values, adding GPU support… The release also enhances the estimator displays in notebooks, and introduces a callback mechanism that opens the door to progress bars or advanced monitoring of convergence.
https://blog.scikit-learn.org/updates/release-1-9/
Scikit-learn 1.9 release is out, and it comes with solid improvements to many existing estimators, making them faster, more stable, handling missing values, adding GPU support… The release also enhances the estimator displays in notebooks, and introduces a callback mechanism that opens the door to progress bars or advanced monitoring of convergence.
https://blog.scikit-learn.org/updates/release-1-9/
scikit-learn Blog
scikit-learn release 1.9: better numerics, new core functionality
Author: Gael Varoquaux
Plugins case study: Pluggy
The post explains how Pluggy works as a reusable Python library for building plugin systems, centered on hooks that hosts define and plugins implement. It also highlights the design tradeoffs Pluggy handles well, including registration, signature validation, ordering, and hook wrappers, while leaving plugin discovery largely up to the application.
https://eli.thegreenplace.net/2026/plugins-case-study-pluggy/
The post explains how Pluggy works as a reusable Python library for building plugin systems, centered on hooks that hosts define and plugins implement. It also highlights the design tradeoffs Pluggy handles well, including registration, signature validation, ordering, and hook wrappers, while leaving plugin discovery largely up to the application.
https://eli.thegreenplace.net/2026/plugins-case-study-pluggy/
PyData London 26
The videos from PyData London 2026 are now available.
https://www.youtube.com/playlist?list=PLGVZCDnMOq0rFQykYJg7t441AEpN4SszE
The videos from PyData London 2026 are now available.
https://www.youtube.com/playlist?list=PLGVZCDnMOq0rFQykYJg7t441AEpN4SszE
Choosing a Python task queue library in 2026: Celery vs Dramatiq vs FastStream vs Taskiq vs Repid
https://www.reddit.com/r/Python/comments/1u775lo/choosing_a_python_task_queue_library_in_2026/
https://www.reddit.com/r/Python/comments/1u775lo/choosing_a_python_task_queue_library_in_2026/
Reddit
From the Python community on Reddit: Choosing a Python task queue library in 2026: Celery vs Dramatiq vs FastStream vs Taskiq vs…
Explore this post and more from the Python community
defending-code-reference-harness
Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can customize.
https://github.com/anthropics/defending-code-reference-harness
Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can customize.
https://github.com/anthropics/defending-code-reference-harness
GitHub
GitHub - anthropics/defending-code-reference-harness: Skills for threat modeling, scanning, triage, patching, plus an autonomous…
Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can /customize - anthropics/defending-code-reference-harness
tracesage
tracesage adds local, zero-infra tracing to LangChain/LangGraph agents in two lines, it captures every chain, tool, and LLM call to SQLite and shows the run as a live graph and timeline in your browser. Open source, pip install, MIT licensed.
https://github.com/kjgpta/tracesage
tracesage adds local, zero-infra tracing to LangChain/LangGraph agents in two lines, it captures every chain, tool, and LLM call to SQLite and shows the run as a live graph and timeline in your browser. Open source, pip install, MIT licensed.
https://github.com/kjgpta/tracesage
GitHub
GitHub - kjgpta/tracesage
Contribute to kjgpta/tracesage development by creating an account on GitHub.