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ClearML

Open-source MLOps platform for experiment tracking and orchestration

DMI: 12#149 of 262HN 30d: 1
6,555 · 747 forks
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Limited data·Missing: npm downloads, npm dependentsAbout our data

Developer Adoption

Package downloads and ecosystem metrics, 30-day window

PyPI Downloads (30d)
773.1K
clearml
Active Contributors (30d)
5
Unique committers, 30-day window

Active Contributors Trend

Insufficient data for trend chart

Need at least 2 data points (currently have 1)

PyPI Download Trend

754,191774,617795,042815,468835,893Feb 21Feb 22Feb 23Feb 24Feb 25Feb 26
90-day trend-5.4%

pypi downloads declined from 817,020 to 773,064 (-5.4%) over the last 90 days.

Developer Community Metrics

Metrics computed from HN discussion, GitHub activity, and funding data.

HN Discussion Rank#40 in AI Infrastructure by HN mentions (out of 75 tracked)
HN vs Category0.5x category median (1 vs 2 median)
GitHub VelocityCommit velocity accelerating (9.3x vs 4-week average)

Category Benchmark

75 AI Infrastructure companies
773.1K downloads/mo39% below median
0Median: 1.3M2.5M+

Funding Rounds

Series A$11M

2018

Investors:

Cite This Data

According to AI-Buzz, ClearML ranks #40 in AI Infrastructure for HN discussion share (out of 75 tracked with 0.1% of HN discussion), with 7 commits/week (accelerating), with 773,064 PyPI downloads in 30 days, with 5 active contributors in 30 days.

Source: https://www.ai-buzz.com/companies/clearml?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data

Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →

About

Description

Open-source MLOps platform for experiment tracking and orchestration

Estimated Company Size

50 - 100 employees

Website

clear.ml

Details

Founded

2019

Open Source

6.6K
Stars
747
Forks
ActivePython
Last commit: 2 days ago
View on GitHub →

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Weekly AI Intelligence

Which AI companies are developers actually adopting? We track npm and PyPI downloads for 262+ companies. Get the biggest shifts weekly — before they show up in the news.