PyRank
fhightower

ioc-finder

Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/
PyPI GitHub
More links
Download Stats Changelog Issues Sponsor
Verified repo
Monthly downloads
34.9K
Weekly downloads
9.2K
GitHub stars *
184

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

Package Information

Latest Version
9.4.1
Requires Python
>=3.10
Licence
GNU Lesser General Public License v3
Last Release
4 months ago
Author
Floyd Hightower
First Release
February 17, 2018
Total Releases
67
Python Versions
3 3.10 3.11 3.12 3.13 3.14
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
100
Popularity
48
Adoption
75
Community
45
Provenance
100
How the maintenance status was determined
Last commit
5 days ago
Monthly downloads
34,865
• 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
34,865
Stars
184
Stars per 1k downloads
5.28
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
1,313
Month daily avg
1,162
Momentum
+13.0%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
>=3.10
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
GNU Lesser General Public License v3
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
121 days ago
Total releases
67
Releases/year
7.7
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
7
Monthly downloads
34,865
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
62
 
Issue Burden
87.0
per 1k stars
Discussions
5.4
per 1k stars
Fork Ratio
15.6%
contrib / forks
Stale Release
116d
 
PR Velocity
Active
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 1.3K
macOS 3
Windows 1

Python Versions

3.7
65.5% 800
3.13
21.5% 263
3.11
5.1% 62
3.12
4.7% 57
3.14
3.2% 39

Top Countries

1. DE DE
799
2. US US
355
3. SE SE
136
4. NL NL
23
5. FR FR
11
6. SG SG
10
7. MX MX
9
8. CA CA
7
9. TW TW
6
10. IN IN
5

Weekly Downloads

GitHub Stars *

Dependencies

3

Used By

7