Experiments Python Packages

hogql-parser

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

deltalite

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

hogql-parser-rs

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

gofeatureflag-python-provider

GO Feature Flag is a simple, complete and lightweight self-hosted cloud native feature flag solution 100% Open Source — built on OpenFeature 🎛️

silx

silx toolkit

qcodes

Modular data acquisition framework

experimaestro

Experimaestro (python version)

llmexer

`llmexer` is a framework and CLI utility to create and curate datasets (e.g., publications, metadata, LLM prompts, etc.) and orchestrate (design, run, evaluate) various LLM experiments on them

reddit-experiments

reddit's python experiments framework

ebtorch

🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses

record-keeper

Record experiment data easily

expfactory

software to generate a reproducible container with a battery of experiments

springs

A set of utilities to turn Dataclasses into useful configuration managers.

mltraq

Track and Collaborate on ML & AI Experiments.

publishable

Run experiments so the record is publishable by default — one config in, one file a reviewer can re-run exactly.

lazyscribe

Lightweight, lazy model experiment logging

dead-salmon-brain

Apache Spark based framework for analysis A/B experiments

boilr

Basic framework for model training and evaluation in PyTorch.

muteria

Software Analysis and Testing Framework

owners-yaml

:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

r2s

research → rank → ship: JSON Schema contract + Python CLI for ranked cards, handoffs and ship outcomes. Includes the experiment contract (r2s xpc: hypothesis → protocol → result).

pytorchlabflow

To manage PyTorch experiments with ease, analyse all components of training pipeline.

autolab

Python package for laboratory instruments control and scientific experiments automation

mcptoolshop-rnd

The studio's research bench: tiered-source Markdown entries, rig experiments, a searchable SQLite index, an instrument registry and rated catalogues. Verified topics graduate to readouts.