PyRank
ipyflow

ipyflow-core

A reactive Python kernel for Jupyter notebooks.
PyPI GitHub
No known security advisories. The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

ipyflow-core has 104K monthly downloads and 1K GitHub stars. Version 0.0.229 supports Python 3.6+, first published in 2022.

It is actively maintained under a permissive license, last released in Jun 2026.

It is built on top of astunparse, black and contextvars. It is used by 5 tracked packages, including ipyflow, nbpipes and pipelinez.

GitHub topics include jupyter, tracing and static-analysis.

Shared Repository
This package shares its GitHub repository (ipyflow/ipyflow) with 1 other package. Stars, forks, and other GitHub metrics reflect the entire repository.
Downloads
Day
1.6K
Week
24.5K
Month
104.2K
Stars
1.3K
Forks
25
Issues
30
Version
0.0.229

Package Insights

What's this?
Score breakdown - each component scores 0-100, weighted by percentage
Maintenance
90
Popularity
57
Adoption
70
Community
10
Provenance
0
How the maintenance status was determined
Last commit
9 days ago
Monthly downloads
104,152
• 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
104,152
Stars
1,272
Stars per 1k downloads
12.21
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
How download momentum is calculated
Week daily avg
3,499
Month daily avg
3,472
Momentum
+0.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Python version support tiers
requires_python
>=3.6
Cutting Edge
Minimum supported version is 3.12 or newer
Modern
Minimum supported version is 3.9, 3.10, or 3.11
• Legacy
Supports 3.8 or older (or Python 2)
Unknown
No requires_python specified or unparseable
License categories
License
BSD-3-Clause
• 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
24 days ago
Total releases
137
Releases/year
32.0
• 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
3
Monthly downloads
104,152
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
22
 
Issue Burden
23.6
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
12.0%
contrib / forks
Stale Release
No
 
PR Velocity
Active
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 1.4K
macOS 20

Python Versions

3.12
61.9% 882
3.11
35.2% 502
3.9
1.4% 20
3.13
1.0% 14
3.7
0.6% 8

Top Countries

1. US US
1.1K
2. NL NL
232
3. AU AU
46
4. IN IN
26
5. RU RU
20
6. GB GB
10
7. SG SG
7
8. SE SE
6
9. DE DE
2

Dependencies

9
29 optional dependencies

Used By

5

Package Information

License
BSD-3-Clause
First Release
March 27, 2022
Last Release
3 weeks ago
Last Commit
1 week ago
Latest Version
0.0.229
Total Releases
137
Contributors
3
Open PRs
2
Archived
No
Author
Stephen Macke
Python Versions
3.6 3.7 3.8 3.9 3.10 3.11 3.12 3.13 3.14
Wheels
py2 py3
Tracking Since
January 6, 2026
Data Updated
July 5, 2026
Data Freshness
Fresh

Links