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OPTIMEO

PyPI·Infrastructure

OPTIMEO is an open-source tool that provides Bayesian optimization capabilities for process tuning, modeling, and orchestration. It is designed for data scientists and researchers who need to automate and optimize experimental workflows. The tool can be used via a web interface or command line and is distributed under the MIT License.

Open SourceMIT
CLIWebSelf-hosted
O
Visit PyPI↗
⭐9
stars
🍴5
forks
✓7
features
📅2024
since

Overview

7 features

OPTIMEO is a Data science & ML workbench product. It focuses on automating and optimizing process tuning and modeling using Bayesian optimization techniques. OPTIMEO is an open-source project aimed at data scientists. The project is open source (MIT). It runs on the command line and the web, and it can be self-hosted.

It is developed by Colin Bousige, and the product first shipped in 2024. The project is developed in the open on GitHub with 36 commits in the last 90 days. Among its 7 catalogued features are bayesian optimization, process modeling, and experiment orchestration.

  • ✓Bayesian optimization
  • ✓Process modeling
  • ✓Experiment orchestration
  • ✓Web interface
  • ✓Command-line interface
  • ✓Open source
  • ✓MIT license

Tags

bayesian-optimizationprocess-tuningpython-libraryexperiment-orchestration

AI capabilities

StructuredWeights: Open

Built with & integrations

Runs on
CLIBrowserSelf-hosted

Trust & compliance

LicenseMIT
Verified signals
✓ HTTPS✓ Open Source✓ Free tier✓ GitHub · ★ 9✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 17, 3:31 PM

    optimeo verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about OPTIMEO

What is OPTIMEO?
OPTIMEO focuses on automating and optimizing process tuning and modeling using Bayesian optimization techniques. It is catalogued under Data science & ML workbench on PulseGate.
Who should use OPTIMEO?
OPTIMEO is an open-source project built for data scientists.
Does OPTIMEO have a free plan?
Yes — OPTIMEO is open source under the MIT license and free to use.
What platforms does OPTIMEO run on?
OPTIMEO runs on the command line and the web. It can also be self-hosted.
Is OPTIMEO still active?
PulseGate's liveness checks currently classify OPTIMEO as active. The GitHub repository shows 36 commits in the last 90 days.
What tools are similar to OPTIMEO?
Similar tools tracked by PulseGate include mmao-opt, Optio, and OceanOpt.mmao-optOptioOceanOpt
Who develops OPTIMEO?
OPTIMEO is developed by Colin Bousige.
How long has OPTIMEO been around?
OPTIMEO first shipped in 2024.

At a glance

Platforms
Cli
Languages
English
Open source
Yes · ★ 9
License
MIT
First seen
Oct 2, 2024
Activity
🟢 Active
Status
🟢 Active
Built for
data scientists
Model
Open source
Solves
Automating and optimizing process tuning and modeling using Bayesian optimization techniques.

Developer

Colin Bousige
Small team
↗ GitHub

Open source

View on GitHub →
⭐ Stars
9
🍴 Forks
5
Open issues
0
Last commit
4d ago
Commits 90d
36
Contributors
3
Authorship
Small team
Default branch
main
Latest release
v1.4.0 · 4d ago

Live coverage

Confidence
Low · 64
Indexed
Jul 17, 2026
Lifecycle
Alive
Activity
Active
First seen
Oct 2024
Last seen
4d ago
Identity audit (9)
Entity ID
cmrp3j2ty09i6xwk0uxndqsrz
Slug
optimeo-pypi-org
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 17, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 17, 2026
Canonical URL
https://pypi.org/project/optimeo

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