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#statistics

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

142 registros
Con la etiqueta «statistics»Ordenado por índice de salud
PyPI
100Excepcionalíndice de salud
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Python★ 67.3K↓ 199M/mes16 sept 2026
BSD-3-Clause16 sept 2026 · métricas 2.10.0
PyPI
98Excepcionalíndice de salud
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
Python★ 4889↓ 1.9M/mes27 ago 2026
Apache-2.027 ago 2026 · métricas 2.10.0
PyPI
98Excepcionalíndice de salud
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Python★ 3515↓ 379.4K/mes14 sept 2026
BSD-3-Clause14 sept 2026 · métricas 2.10.0
npm · PyPI
97Excepcionalíndice de salud
growthbook/growthbook
Open Source Feature Flags, Experimentation, and Product Analytics
TypeScript★ 8364↓ 5.3M/mes15 sept 2026
Licencia propia15 sept 2026 · métricas 2.10.0
npm · Hex
97Excepcionalíndice de salud
plausible/analytics
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
Elixir · TypeScript★ 29.1K15 sept 2026
AGPL-3.015 sept 2026 · métricas 2.10.0
PyPI
96Excepcionalíndice de salud
NVIDIA/raft
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Cuda · C++★ 104217 sept 2026
Apache-2.017 sept 2026 · métricas 2.10.0
PyPI
95Excepcionalíndice de salud
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
Python★ 11.6K27 ago 2026
BSD-3-Clause27 ago 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Python★ 1123↓ 228.3K/mes17 sept 2026
Apache-2.017 sept 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
pydoe/pydoe
Design of Experiments for Python
Python★ 345↓ 365.4K/mes19 oct 2026
BSD-3-Clause19 oct 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
pymc-devs/pymc-extras
Powerful add-ons for PyMC
Jupyter Notebook★ 143↓ 211.1K/mes12 sept 2026
Licencia propia12 sept 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Python★ 2754↓ 812.2K/mes17 sept 2026
Apache-2.017 sept 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
vega/altair
Declarative visualization library for Python
Python★ 10.5K↓ 53M/mes27 ago 2026
BSD-3-Clause27 ago 2026 · métricas 2.10.0
PyPI
93Excepcionalíndice de salud
cogent3/cogent3
Comparative Genomics Toolkit 3
Python★ 139↓ 6983/mes21 oct 2026
BSD-3-Clause21 oct 2026 · métricas 2.10.0
PyPI · crates.io
92Excelenteíndice de salud
igerber/diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Python★ 392↓ 18.4K/mes10 sept 2026
MIT10 sept 2026 · métricas 2.10.0
Go · PyPI
92Excelenteíndice de salud
johnkerl/miller
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Go★ 10K4 oct 2026
Licencia propia4 oct 2026 · métricas 2.10.0
PyPI
92Excelenteíndice de salud
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Python★ 8317↓ 161.1K/mes17 sept 2026
MIT17 sept 2026 · métricas 2.10.0
Go
92Excelenteíndice de salud
qax-os/excelize
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Go★ 20.9K16 sept 2026
BSD-3-Clause16 sept 2026 · métricas 2.10.0
npm · crates.io
91Excelenteíndice de salud
TypeScript★ 2817↓ 55.4K/mes18 sept 2026
MIT18 sept 2026 · métricas 2.10.0
Go
89Excelenteíndice de salud
dmachard/DNS-collector
Grab your DNS logs, detect anomalies, and finally understand what's happening on your network. The missing piece between DNS servers and your data stack.
Go★ 57219 oct 2026
MIT19 oct 2026 · métricas 2.10.0
crates.io
89Excelenteíndice de salud
paiml/aprender
Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust
Rust · HTML★ 120↓ 14.4K/mes14 sept 2026
MIT14 sept 2026 · métricas 2.10.0
PyPI
88Excelenteíndice de salud
PyAutoLabs/PyAutoFit
PyAutoFit: Classy Probabilistic Programming
Python★ 65↓ 7533/mes27 sept 2026
MIT27 sept 2026 · métricas 2.10.0
npm · PyPI
88Excelenteíndice de salud
synesenom/ran
Library for generating various random variables
JavaScript · Python★ 15↓ 2993/mes14 sept 2026
MIT14 sept 2026 · métricas 2.10.0
Maven · npm
87Excelenteíndice de salud
haifengl/smile
Statistical Machine Intelligence & Learning Engine
Java★ 641328 ago 2026
Licencia propia28 ago 2026 · métricas 2.10.0
PyPI
87Excelenteíndice de salud
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python★ 7121↓ 12M/mes28 ago 2026
MIT28 ago 2026 · métricas 2.10.0
PyPI · npm
87Excelenteíndice de salud
sportsdataverse/sportsdataverse-py
sportsdataverse python package
Python★ 117↓ 10.9K/mes15 sept 2026
MIT15 sept 2026 · métricas 2.10.0
crates.io
87Excelenteíndice de salud
statrs-dev/statrs
Statistical computation library for Rust
Rust★ 823↓ 3M/mes27 ago 2026
MIT27 ago 2026 · métricas 2.10.0
—
86Excelenteíndice de salud
JuliaStats/Distributions.jl
A Julia package for probability distributions and associated functions.
Julia★ 119911 sept 2026
Licencia propia11 sept 2026 · métricas 2.10.0
PyPI
86Excelenteíndice de salud
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Python★ 107017 sept 2026
NCSA17 sept 2026 · métricas 2.10.0
PyPI
86Excelenteíndice de salud
brycewang-stanford/StatsPAI
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.
Python★ 328↓ 2642/mes1 oct 2026
MIT1 oct 2026 · métricas 2.10.0
npm · PyPI
86Excelenteíndice de salud
dupontcyborg/numpy-ts
Fast, Complete NumPy for TypeScript & JavaScript
TypeScript · Zig★ 393↓ 4162/mes12 sept 2026
MIT12 sept 2026 · métricas 2.10.0