Peter Prettenhofer

agentsview. Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.

rerun. Visualize, query, and stream to train on multimodal robotics data.

gello_mechanical. OpenSCAD

syftr. syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

python-prompt-toolkit. Library for building powerful interactive command line applications in Python

low_cost_robot. Python

rtdl. Research on Tabular Deep Learning: Papers & Packages

pyperf. Toolkit to run Python benchmarks

shap. A game theoretic approach to explain the output of any machine learning model.

LightGBM. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

timescaledb. A time-series database for high-performance real-time analytics packaged as a Postgres extension

nonconformist. Python implementation of the conformal prediction framework.

animalid. Generate fun, unique pseudorandom ID's with an animal theme!

docker-grafana-graphite. Docker image with StatsD, Graphite, Grafana 2 and a Kamon Dashboard

sklearn2pmml. Python library for converting Scikit-Learn pipelines to PMML

sklearn-compiledtrees. Compiled Decision Trees for scikit-learn

scikit-optimize. Sequential model-based optimization with a `scipy.optimize` interface

async-rl. Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

decisiontrees. High performance implementations of gradient boosting, random forests, etc. in Go

odo. Data Migration for the Blaze Project

parakeet. Runtime compiler for numerical Python

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

simmer. Reduce your data. A unix filter for algebird-powered aggregation.

influxdb. Scalable datastore for metrics, events, and real-time analytics

libsvm. LIBSVM -- A Library for Support Vector Machines

gbm. Gradient boosted models

lightning. Large-scale linear classification, regression and ranking in Python

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

zipline. Zipline, a Pythonic Algorithmic Trading Library

marisa-trie. Static memory-efficient Trie-like structures for Python based on marisa-trie C++ library.

minirank. Ranking and ordinal regression algorithms in Python

vbench. vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions

scikit-learn-speed. Continuous benchmark suite for the scikit-learn project.

scikit-learn-benchmarks. Results of scikit-learn asv benchmarks

statsmodels. Statsmodels: statistical modeling and econometrics in Python

carbon. Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

cubism. Cubism.js: A JavaScript library for time series visualization.

txredisapi. redis client for twisted

sketchd. Twisted server to sketch data streams

bloomd. C network daemon for bloom filters

txstatsd. A twisted-based implementation of https://github.com/etsy/statsd

vbench. vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions

spark. ▁▂▃▅▂▇ in your shell.

dist_lda. distributed latent dirichlet allocation

hackaton-sentiment-summarizer. A simple sentiment summarizer as a Chrome extension

svmlight-loader. Fast and memory-efficient svmlight / libsvm file loader for Python.

graphite. git-bzr mirror of graphite trunk

scikit-learn. scikit-learn: machine learning in Python

d3py. a plottling library for python, based on D3

Diamond.

statsmodels. Statsmodels: statistical modeling and econometrics in Python

crfsuite. CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

langid.py. Stand-alone language identification system

scikit-learn-tutorial. Applied Machine Learning in Python with scikit-learn

gensim. Topic Modelling for Humans

statsd. Daemon for easy but powerful stats aggregation

scikit-learn. scikit-learn repo for vlad's work in progress contributions

cython. The most widely used Python to C compiler

crfsuite. CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

scikit-learn. scikit-learn main repo

nut. Natural language Understanding Toolkit

numpy. The fundamental package for scientific computing with Python.

pandas. Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

mongo-hadoop. MongoDB Connector for Hadoop

scikit-learn. clone from agramfort of scikit-learn: machine learning in Python

scikit-learn. scikit-learn: machine learning in Python

pegjs. PEG.js: Parser generator for JavaScript

neural-language-model. Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.

esmre. Python extension module for accelerating regular expressions using libesm

txredisapi. non-blocking redis client for python twisted

milk. MILK: Machine Learning Toolkit

scikits.image. This repository now lives at https://github.com/scikit-image/scikit-image

bolt. Bolt Online Learning Toolbox