PyRank
frictionlessdata

tableschema

A Python library for working with Table Schema.
PyPI GitHub
More links
Download Stats
Monthly downloads
220.0K
Weekly downloads
45.8K
GitHub stars
267

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

Package Information

Latest Version
1.21.0
Requires Python
Not specified
Licence
MIT
Last Release
1 year ago
Author
Open Knowledge Foundation
First Release
April 5, 2017
Total Releases
88
Python Versions
2 2.7 3 3.4 3.5 3.6
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
50
Adoption
53
Community
40
Provenance
0
How the maintenance status was determined
Last commit
700 days ago
Monthly downloads
220,043
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
220,043
Stars
267
Stars per 1k downloads
1.21
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
6,539
Month daily avg
7,335
Momentum
-10.8%
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
More insights and metrics
Python version support tiers
requires_python
Not specified
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
Package does not declare a minimum Python version.
License categories
License
MIT
• 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
700 days ago
Total releases
88
Releases/year
9.2
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
35
Monthly downloads
220,043
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
41
 
Issue Burden
3.7
per 1k stars
Discussions
0.0
per 1k stars
Fork Ratio
89.7%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 
Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Linux 4.3K
macOS 9
Windows 5

Python Versions

3.11
41.3% 1.6K
3.6
24.1% 925
3.10
15.9% 610
3.12
10.3% 393
3.7
8.4% 320

Top Countries

1. US US
3.4K
2. SG SG
313
3. GB GB
229
4. RU RU
120
5. ES ES
106
6. BE BE
36
7. DE DE
36
8. IE IE
35
9. NL NL
21
10. JP JP
18

Weekly Downloads

GitHub Stars

Dependencies

10
4 optional dependencies
  • mock[develop]
    extra == "develop"
  • pylama[develop]
    extra == "develop"
  • pytest[develop]
    extra == "develop"
  • pytest-cov[develop]
    extra == "develop"

Used By

13
View all 13 dependents

Repository details

Forks
39
Issues
1
Last Commit
1 year ago
Contributors
35
Open PRs
0
Archived
No

Data and sources

Tracking Since
September 26, 2026
Data Updated
October 11, 2026
Data Freshness
Fresh
Keywords
frictionless data open data json schema table schema data package tabular data package
Sources and methodology