PyRank
eager-dev

eagerx

EAGERx is a physics engine abstraction layer for reinforcement learning. EAGERx allows switching between simulators and reality with a single line of code, supports action and observation processing and controller switching for resets.
PyPI GitHub
More links
Download Stats Documentation
Monthly downloads
856
Weekly downloads
263
GitHub stars
129

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version
0.1.40
Requires Python
>=3.7,<4.0
Licence
Apache2.0
Last Release
2 years ago
Author
Bas van der Heijden
First Release
February 10, 2022
Total Releases
40
Python Versions
3 3.7 3.8 3.9 3.10 3.11 3.12
No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
40
Popularity
38
Adoption
29
Community
25
Provenance
0
How the maintenance status was determined
Last commit
430 days ago
Monthly downloads
856
Active
Activity within 30 days
Stable
Activity within 31-180 days
• Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
856
Stars
129
Stars per 1k downloads
150.70
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
• Unknown
Fewer than 1,000 monthly downloads, or no star data
Needs at least 1,000 monthly downloads to classify popularity.
How download momentum is calculated
Week daily avg
38
Month daily avg
29
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
More insights and metrics
Python version support tiers
requires_python
>=3.7,<4.0
Cutting Edge
Minimum supported version is 3.14 or newer
Modern
Minimum supported version is 3.11 to 3.13
• Legacy
Supports 3.10 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
Apache2.0
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
1043 days ago
Total releases
40
Releases/year
8.5
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
• Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
6
Monthly downloads
856
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
40
 
Issue Burden
147.3
per 1k stars
Discussions
7.8
per 1k stars
Fork Ratio
100.0%
contrib / forks
Stale Release
612d
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 1

Python Versions

3.7
100.0% 1

Top Countries

1. US US
192
2. CN CN
2
3. DE DE
1
4. FR FR
1
5. TW TW
1

Weekly Downloads

GitHub Stars

Dependencies

19

Used By

10

Repository details

Forks
6
Issues
19
Last Commit
1 year ago
Contributors
6
Open PRs
7
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Sources and methodology