Pi is a terminal-based minimal coding agent harness built to adapt to user workflows rather than requiring users to adjust their processes. It supports 15+ providers and hundreds of models, offers tree-structured shareable interaction history, context engineering features, and four operation modes: interactive, print/JSON, RPC, and SDK. Users can customize Pi with extensions, skills, prompt templates, and themes, and share customizations as packages via npm or git. It is installable via curl, PowerShell, npm, pnpm, or bun.
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Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
Pipcook is a JavaScript application framework for machine learning and its engineering, aimed at Web developers. It provides subprojects including a machine learning pipeline framework, management tools and a JavaScript runtime for machine learning. A Pipcook Pipeline composes scripts and outputs an NPM package containing the trained model and JavaScript functions. The documentation describes a workflow of install, train, test and deploy using the Pipcook command-line tool.
Pipeline Conversations is a podcast from ZenML featuring interviews with platform engineers, ML practitioners and technical leaders building production AI systems. Episodes cover MLOps and LLMOps topics including Kubernetes workflows, model fine-tuning and evaluation, LLM security, cost optimization, prompt engineering and agents in production.
pixray is an image generation system combining perception engines, CLIP-guided GAN imagery and CLIPDraw. It is a Python library and command line utility that can also run in Google Colab notebooks or inside Docker using Cog. Installation requires a recursive git clone and a fresh Python 3.8 environment.
Polars is an extremely fast open-source query engine for DataFrames written in Rust, hosted as a GitHub repository under the pola-rs organization. It is built to handle large datasets, including data volumes that exceed available system RAM.
A high-speed inference engine for deploying LLMs locally.
PromptLayer is a prompt management platform for AI engineering teams. It offers prompt versioning, large language model evaluation tools, and AI agent observability via tracing, logs, and regression sets, plus a visual editor for prompt iteration and collaboration.
PyBroker is a Python framework for developing algorithmic trading strategies with a focus on machine learning. It provides a backtesting engine built in NumPy and accelerated with Numba, model training and backtesting using Walkforward Analysis, parameter optimization with Optuna, and access to historical data from Alpaca, Yahoo Finance, and AKShare. It supports Python 3.11+ on Windows, Mac, and Linux.
PyQtGraph is a pure-Python graphics library that uses the Qt framework. It is intended for mathematics, scientific and engineering applications, and relies on numpy for number crunching, Qt's GraphicsView for 2D display and OpenGL for 3D display. It supports Python 3.12+, Qt 5.15 or 6.8+, and numpy 2.2+.
QuestDB is an open-source time-series database engineered for low latency. It uses a column-oriented, time-partitioned storage engine with memory-mapped files and vectorized execution for high-throughput ingestion and millisecond-level analytical queries. SQL is extended with time-series operators such as SAMPLE BY, LATEST ON, ASOF JOIN, WINDOW JOIN and HORIZON JOIN.
Ray is an AI compute engine consisting of a core distributed runtime and AI libraries for scaling AI and Python applications. It runs on any machine, cluster, cloud provider, and Kubernetes, and is installed with pip install ray.
Rhesis is an open source collaboration layer for AI teams, available as SaaS or self-hosted, with a UI, SDK and MCP. Domain experts annotate and review agent behavior while engineers improve the agent from what they find. Feedback stays attached to the test case and agent version that produced it.
Serplux is an AI SEO tracker for search engine automation. It offers AI agents for SEO strategy, content ideas, competition analysis, keyword position tracking and UX review. The page states a free forever plan with no credit card and access to all AI agents.
WhisperS2T is an optimized speech-to-text pipeline for the Whisper model that supports multiple inference engines. The repository provides release notes, quickstart guides, future roadmaps, and a benchmark and technical report.
SillyTavern is a locally installed user interface for interacting with text generation LLMs, image generation engines and TTS voice models. It began in February 2023 as a fork of TavernAI 1.2.8 and is built around character cards, collections of prompts that set the behavior of the LLM. It is free and open-sourced.
Statistical Machine Intelligence and Learning Engine.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides high-level APIs in Java, Scala, Python and R, and supports Spark SQL, pandas API on Spark, MLlib, GraphX and Structured Streaming. The documentation covers downloads, the shell and client applications.
Spark is a fast and general engine for large-scale data processing.
Specialized AI vision for extracting engineering specs from PDF/JPG to Excel.
Springboard is an education technology company that offers online career tracks in data science, machine learning, artificial intelligence, cybersecurity, software engineering, and UX design. Its blog provides articles on certifications, skill building, and career planning. The platform also partners with employers to hire emerging talent and offers team upskilling solutions.
Superpowers is an agentic skills framework and software development methodology for coding agents. It prompts the agent to clarify a specification, shows the design in chunks for sign-off, then builds an implementation plan emphasizing red/green TDD, YAGNI, and DRY. A subagent-driven-development process has agents work through engineering tasks and review their work. Skills trigger automatically.
TavernAI is an AI roleplay chat platform with an advanced prompting system. It supports running machine learning models locally or connecting to external AI providers, and can be adapted to function as an AI game engine.
TensorLayer is an open-source deep learning and reinforcement learning library designed for scientists and engineers. Hosted on GitHub, the project offers design feature documentation, multilingual resources, and extensive example materials to support use.