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Evidently AI

Open-source ML monitoring and observability framework

AI InfrastructureFounded 2020#33 of 55 in AI Infrastructure

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Company research

Current company data

No company research card is published for Evidently AI yet. The current company data below lists package, repository, and discussion metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

1.2M/30d

Dependent projects

19

dependents · latest

GitHub stars

7.7K

Hacker News

3/30d

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

Company profile

What is Evidently AI?

Evidently AI develops open-source tools and a managed platform for machine learning model monitoring and observability. Their primary offering, the Evidently AI open-source library, helps data scientists and MLOps teams detect data drift, model performance degradation, and data quality issues in production. By providing transparency into ML models, they enable reliable and responsible AI deployment, addressing critical challenges in maintaining model integrity and performance over time.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

1.2M/30d

Tracked package: PyPI evidently

▼ -6%

Additional metrics

3 metrics

Metric

Dependent projects

19

Projects depending on tracked package: PyPI evidently

Metric

GitHub stars

7.7K

Main repository stars

Metric

Hacker News

3/30d

Position #36 in category discussion

Repository health

Maintenance data from the main open-source repository.

OpenSSF Scorecard
3.9
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Evidently AI.

Repos importing
3400%

About Evidently AI

Evidently AI develops open-source tools and a managed platform for machine learning model monitoring and observability. Their primary offering, the Evidently AI open-source library, helps data scientists and MLOps teams detect data drift, model performance degradation, and data quality issues in production. By providing transparency into ML models, they enable reliable and responsible AI deployment, addressing critical challenges in maintaining model integrity and performance over time.

FoundersElena Samuylova, Emeli Dral, Dmitry Vorontsov

Disclosed funding

Disclosed $2M · 1 round

Disclosed funding records total $2M. Category position #33 of 55 in AI Infrastructure.

Seed2021

Sequoia Capital India

$2M

Investors

Sequoia Capital India

Tracked packages (1)

1 PyPI

evidently

PyPIMain PyPI package

evidently

Open-source ML monitoring and observability framework