Web Framework Rank

Wisdom of the crowd web framework rank.

Rank and Score

name	rank	score	pypistats downloads last month	pypi used as main dependency	stackoverflow questions	github stars	repo unique committers	repo changed lines last month	repo unique committers last month	repo last commit
Django	1	93	14307915	6872	312571	77756	3097	2065	27	2024-06-28
FastAPI	2	92	34302167	2910	7029	73028	656	3170	16	2024-06-28
Tornado	3	88	37466418	1074	3764	21604	456	3632	3	2024-06-29
Flask	4	84	65911200	5534	55804	66937	848	56	4	2024-06-07
AIOHTTP	5	81	106543432	6530	1699	14760	751	44	2	2024-06-25
Dash	6	81	2356118	464	4620	20822	195	2145	7	2024-06-25
Twisted	7	81	3891015	435	3467	5488	321	11884	7	2024-06-27
Starlette	8	76	27886554	671	324	9744	284	58	4	2024-06-29
Sanic	9	75	931375	369	207	17855	381	614	5	2024-06-27
Werkzeug	10	72	86973196	1329	648	6576	503	32	3	2024-06-03
Pyramid	11	68	2156225	240	2217	3917	367	676	1	2024-06-10
Litestar	12	64	647894	22	3	5055	208	2605	14	2024-06-21
CherryPy	13	59	774629	122	1371	1804	151	147	1	2024-06-14
Zope	14	55	39674	47	738	348	177	86	3	2024-06-12
Bottle	15	55	3484293	259	1487	8331	232	0	0	2024-01-03
Robyn	16	51	9585	1	0	3891	66	550	5	2024-06-27
Falcon	17	50	529517	141	202	9434	210	0	0	2024-05-07
py4web	18	48	3061	5	0	238	73	2668	2	2024-06-28
web.py	19	45	134085	18	887	5876	97	0	0	2024-04-30
Quart	20	44	520828	131	187	2744	105	0	0	2024-05-19
hug	21	40	66231	16	33	6845	125	0	0	2023-06-30
web2py	22	39	194	0	2135	2093	276	0	0	2024-05-18
Emmett	23	29	579	4	0	1022	26	0	0	2024-05-29
TurboGears	24	29	1787	0	152	800	38	0	0	2024-03-25
Morepath	25	28	6724	21	0	394	28	0	0	2022-05-29
Pylons	26	28	26406	0	828	231	36	0	0	2018-01-12
Grok	27	28	672	0	492	26	45	0	0	2024-05-08
Vibora	28	26	260	1	0	5672	27	0	0	2019-02-11
Pycnic	29	21	1031	1	0	159	11	0	0	2022-04-05
CubicWeb	30	21	3847	24	0	0	0	0	0
Quixote	31	20	170	2	0	82	6	0	0	2024-03-01
Growler	32	18	42	0	0	686	6	0	0	2020-03-08
Giotto	33	13	101	0	0	59	3	0	0	2013-10-07

Score Calculation Algorithm

Score calculated as next way:

• calculate field score for framework for each field
  • for each field get framework value
  • order values from smallest to heights
  • field score for framework is index in ordered list starting from 1 divided to count of frameworks
• sum filed score of each field and divide to number of fields
• increase score to 100 to get result form 0 to 100

Fields Used for Score Calculation

Next fields used to calculate score and rank it:

• last month package downloads from pypi
• projects on pypi with framework as main dependency
• stackoverflow questions for appropriate framework tag
• github stars
• unique committers
• lines updated last month
• unique committers last month
• last update in master (weeks from last update)

All Data Fields

data.csv contains wide range of metrics about frameworks collected weekly. There are next fields presented in it:

• name
• rank
• score
• pypistats_downloads_last_month
• pypi_project_mentions
• pypi_used_as_main_dependency
• pypi_used_as_main_dependency_with_extra
• pypi_used_as_deep_dependency
• pypi_used_as_deep_dependency_with_extra
• pypi_releases
• pypi_last_release_at
• stackoverflow_questions
• github_stars
• github_forks
• github_watches
• github_size
• github_created_at
• github_updated_at
• repo_lines
• repo_size
• repo_commits
• repo_committers
• repo_changed_lines_last_month
• repo_commits_last_month
• repo_committers_last_month
• repo_first_commit_at
• repo_last_commit_at
• collected_at