PyPI · Go · crates.io
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
MIT27 серп. 2026 р. · метрики 2.10.0
Усі теги
Тег каталогу
#reproducibility
Усі репозиторії публічного реєстру з цим тегом — із тем GitHub або ключових слів, які публікують їхні реєстри пакетів. Здоров'я вимірюється за тією ж версіонованою методологією, що й решта реєстру.
23 записи
PyPI · npm
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache-2.05 серп. 2026 р. · метрики 2.10.0
PyPI · Go · npm
SwanHubX/SwanLab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Apache-2.028 серп. 2026 р. · метрики 2.10.0
PyPI · npm
sipyourdrink-ltd/bernstein
Deterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so parallel runs in per-task git worktrees replay byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it. Cluster mode, air-gap deploy. https://bernstein.run
Apache-2.028 лип. 2026 р. · метрики 2.10.0
PyPI
snakemake/snakemake
This is the development home of the workflow management system Snakemake. For general information, see
MIT13 серп. 2026 р. · метрики 2.10.0
PyPI
cthoyt/pystow
👜 Easily pick a place to store data for your Python code.
MIT21 лип. 2026 р. · метрики 2.10.0
PyPI
ywatanabe1989/figrecipe
Reproducible matplotlib wrapper with mm-precision layouts
AGPL-3.016 лип. 2026 р. · метрики 2.10.0
PyPI
scitex-ai/figrecipe
Reproducible matplotlib wrapper with mm-precision layouts
AGPL-3.016 серп. 2026 р. · метрики 2.10.0
Go · npm · PyPI
Artexis10/endstate
Open-source engine behind Endstate: reinstall your apps and restore your settings on a fresh machine from one file. Windows via winget (Linux/macOS in progress). Go, Apache 2.0.
Apache-2.022 лип. 2026 р. · метрики 2.10.0
PyPI
Beuth-Erdelt/Benchmark-Experiment-Host-Manager
This python tool helps managing DBMS benchmarking experiments in a Kubernetes-based HPC cluster environment. It enables users to configure hardware / software setups for easily repeating tests over varying configurations.
AGPL-3.016 лип. 2026 р. · метрики 2.10.0
PyPI
Vikhram-S/IndianConstitution
A Python library for exploring the Constitution of India.
Apache-2.019 лип. 2026 р. · метрики 2.10.0
PyPI
banesullivan/scooby
Great Dane turned Python environment detective
MIT19 серп. 2026 р. · метрики 2.10.0
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snakemake-workflows/dna-seq-varlociraptor
A Snakemake workflow for calling small and structural variants under any kind of scenario (tumor/normal, tumor/normal/relapse, germline, pedigree, populations) via the unified statistical model of Varlociraptor.
MIT17 лип. 2026 р. · метрики 2.10.0
PyPI · npm
haqaliz/contig
An agentic bioinformatics analyst: it runs the analysis on your own compute, self-heals failures, verifies the output, and returns a reproducible result.
Apache-2.05 вер. 2026 р. · метрики 2.10.0
PyPI
ywatanabe1989/scitex-clew
Verifiable knowledge graph for scientific experiments
AGPL-3.016 лип. 2026 р. · метрики 2.10.0
PyPI
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
Власна ліцензія13 серп. 2026 р. · метрики 2.10.0
PyPI
DoctorDean/lazarus
An agent that takes a dead research repo and turns it into a callable pipeline component.
MIT17 лип. 2026 р. · метрики 2.10.0
crates.io
bio-rs/bio-rs
AI-ready biological data I/O, validation, and tokenization engine
Власна ліцензія15 лип. 2026 р. · метрики 2.10.0
Go
AccursedGalaxy/driver-os
Verifiable coding-agent harness in Go: external test gates, typed outcomes, sandboxed execution, multi-model providers, and signed proof bundles.
MIT30 серп. 2026 р. · метрики 2.10.0
PyPI
SidRichardsQuantum/Quantum_Backend_Bench
Run the same quantum circuit across multiple backends and compare performance, depth, gate counts, and noise effects in a single, unified workflow.
MIT20 серп. 2026 р. · метрики 2.10.0
PyPI
brysontang/crystallize
Crystallize is a lightweight Python framework for rigorous, reproducible data science experiments. Define modular pipelines, apply treatments as experimental variations, and verify hypotheses with statistical tests, all with built-in caching, immutability, and parallelism for trustworthy, efficient results.
Apache-2.017 лип. 2026 р. · метрики 2.10.0
PyPI
tlamadon/specthis
tool to help spec driven agentic coding for pipelines
MIT20 лип. 2026 р. · метрики 2.10.0
PyPI
treeverse/dvc
🦉 Data Versioning and ML Experiments
Apache-2.012 серп. 2026 р. · метрики 2.10.0