SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 Python hyperparameter-optimization Projects
-
Ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06Main: https://github.com/ray-project/ray ⭐ 34k+
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
-
-
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Project mention: The $100 ChatGPT: Why Karpathy's nanochat Represnts the Next Big Thing | dev.to | 2026-05-04Each stage is comprehensible. Each stage is hackable. You can literally watch it get smarter in real-time through the wandb plots.
-
Project mention: Gluon: a GPU programming language based on the same compiler stack as Triton | news.ycombinator.com | 2025-09-17
Amazon (+ Microsoft) already released a language for ML called gluon 8 years ago: https://aws.amazon.com/blogs/aws/introducing-gluon-a-new-lib...
autogluon is popular as well: https://github.com/autogluon/autogluon
-
-
-
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Im working on AI data analyst - MLJAR Studio. It is conversational UI with AI agent which uses Python to provide data insights. It is available as desktop application https://mljar.com
-
-
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
-
vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
-
Gradient-Free-Optimizers
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
-
A small, controlled search space from the script’s configuration is derived and passed to SMAC (a known AutoML tuner) for optimization.
-
TradingView-Machine-Learning-GUI
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
-
AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
-
-
OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
-
-
-
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
-
tuneta
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
-
syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
-
Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python hyperparameter-optimization discussion
Python hyperparameter-optimization related posts
-
Turning Observability into a Tunable Search Space
-
LLMs Don't Quite Beat Classical Hyperparameter Optimization Algorithms
-
An orthogonal distance fitting algorithm for vector graphics plotting [pdf]
-
Optuna f-string Refactoring
-
Designing Pareto-optimal RAG workflows with syftr
-
Pareto Frontier for the Agentic Workflow
-
Optimizing ML Training with Metagradient Descent
-
A note from our sponsor - SaaSHub
www.saashub.com | 9 Jun 2026
Index
What are some of the best open-source hyperparameter-optimization projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | Ray | 42,791 |
| 2 | d2l-en | 28,853 |
| 3 | optuna | 14,322 |
| 4 | wandb | 11,104 |
| 5 | autogluon | 10,444 |
| 6 | auto-sklearn | 8,108 |
| 7 | polyaxon | 3,708 |
| 8 | mljar-supervised | 3,265 |
| 9 | keras-tuner | 2,924 |
| 10 | rl-baselines3-zoo | 2,820 |
| 11 | vizier | 1,650 |
| 12 | Gradient-Free-Optimizers | 1,274 |
| 13 | SMAC3 | 1,224 |
| 14 | TradingView-Machine-Learning-GUI | 951 |
| 15 | AgileRL | 923 |
| 16 | optuna-examples | 850 |
| 17 | OCTIS | 804 |
| 18 | FEDOT | 705 |
| 19 | Hyperactive | 550 |
| 20 | archai | 485 |
| 21 | tuneta | 458 |
| 22 | syne-tune | 418 |
| 23 | Sklearn-genetic-opt | 361 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com