{"title":"Post-training & Alignment: systems measured by Evidaxis, snapshot 2026-09-26","license":"CC0-1.0","license_url":"https://creativecommons.org/publicdomain/zero/1.0/","note":"Released to the public domain under CC0 1.0. Same rows and columns as the niche table on the hub page, all systems, alphabetical by name. Order is not a rank.","niche":{"key":"post-training-alignment","slug":"post-training-alignment","label":"Post-training & Alignment","assigned":true,"field":{"slug":"foundation-models","label":"Foundation Models"},"url":"https://evidaxis.org/ai/cohorts/post-training-alignment/"},"snapshot":{"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26","period":"2026-w39","methodology_version":"m3"},"n_systems":16,"niche_medians":{"commits":{"value":11.95,"n":16},"citations":{"value":11,"n":4},"dependents":{"value":3,"n":8}},"answer":"Evidaxis measures 16 systems in Post-training & Alignment every week. In snapshot 2026-w39 (2026-09-26) the niche median is ≈11.95 commits per week, 11 citations to date (on the 4 systems with a citation count) and 3 direct dependents (on the 8 systems with a dependents reading). Systems at 2× the niche median or more: 2. Medals here compare verified dependents only: a medal needs at least 5 systems in the niche with that figure and a median of 3 or more. Rising: none.","columns":{"measured_line":"The measured line shown in the table, generated from the readings.","commits_per_week":"GitHub commits per week averaged over the trailing 12 weeks.","citations_to_date":"OpenAlex citing works indexed to date, all years including the current one.","citations_state":"scored, count_only (a count without a scored trend) or not_measured.","verified_direct_dependents":"deps.dev direct dependents, shown only when the package identity is verified.","verified_dependents_state":"scored, count_only or not_measured (not_measured when no verified package).","direct_dependents_reading":"The deps.dev direct dependents reading used for the niche median, whether or not the package identity is verified.","stars_recorded_not_scored":"GitHub stargazers; recorded, not scored.","medal_multiple":"Multiple of the niche median (2, 10 and 100 are the bronze, silver and gold thresholds); blank without a medal.","medal_measure":"citations or dependents.","rising":"true when at least two of the three measures are rising together in this niche on this snapshot; blank for systems without a niche."},"systems":[{"entity_id":"e_PCV8H6P7B04","name":"AReaL","url":"https://evidaxis.org/e/e_PCV8H6P7B04/","niche":"Post-training & Alignment","measured_line":"10 commits/week, citations not measured, verified dependents not measured.","commits_per_week":10,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":5793,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_2S60RGNZHBS","name":"ART","url":"https://evidaxis.org/e/e_2S60RGNZHBS/","niche":"Post-training & Alignment","measured_line":"14 commits/week, citations not measured, verified dependents not measured.","commits_per_week":14,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":1,"stars_recorded_not_scored":10778,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_B10ZF25BFZT","name":"Axolotl","url":"https://evidaxis.org/e/e_B10ZF25BFZT/","niche":"Post-training & Alignment","measured_line":"13.9 commits/week, citations not measured, 2 verified direct dependents (count only).","commits_per_week":13.9,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":2,"verified_dependents_state":"count_only","direct_dependents_reading":2,"stars_recorded_not_scored":12506,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_8V2DZWR8HPM","name":"LLaMA-Factory","url":"https://evidaxis.org/e/e_8V2DZWR8HPM/","niche":"Post-training & Alignment","measured_line":"3.5 commits/week, 389 citations to date (count only), 4 verified direct dependents (count only).","commits_per_week":3.5,"citations_to_date":389,"citations_state":"count_only","verified_direct_dependents":4,"verified_dependents_state":"count_only","direct_dependents_reading":4,"stars_recorded_not_scored":75024,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_FJPV9XH9GPR","name":"ms-swift","url":"https://evidaxis.org/e/e_FJPV9XH9GPR/","niche":"Post-training & Alignment","measured_line":"27 commits/week, citations not measured, 4 verified direct dependents (count only).","commits_per_week":27,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":4,"verified_dependents_state":"count_only","direct_dependents_reading":4,"stars_recorded_not_scored":15731,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_QHYA574DXDQ","name":"NeMo-RL","url":"https://evidaxis.org/e/e_QHYA574DXDQ/","niche":"Post-training & Alignment","measured_line":"32.1 commits/week, citations not measured, verified dependents not measured.","commits_per_week":32.1,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":1,"stars_recorded_not_scored":2033,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_Y0KW8KTAF72","name":"Open R1","url":"https://evidaxis.org/e/e_Y0KW8KTAF72/","niche":"Post-training & Alignment","measured_line":"0 commits/week, citations not measured, verified dependents not measured.","commits_per_week":0,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":26477,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_QF7Y4CJ00Q4","name":"Open-Instruct","url":"https://evidaxis.org/e/e_QF7Y4CJ00Q4/","niche":"Post-training & Alignment","measured_line":"3.1 commits/week, citations not measured, verified dependents not measured.","commits_per_week":3.1,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":3879,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_MDD4QDWH205","name":"OpenRLHF","url":"https://evidaxis.org/e/e_MDD4QDWH205/","niche":"Post-training & Alignment","measured_line":"3.2 commits/week, 10 citations to date (count only), verified dependents not measured.","commits_per_week":3.2,"citations_to_date":10,"citations_state":"count_only","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":10046,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_H6EVSN8Q85T","name":"prime-rl","url":"https://evidaxis.org/e/e_H6EVSN8Q85T/","niche":"Post-training & Alignment","measured_line":"30.3 commits/week, citations not measured, verified dependents not measured.","commits_per_week":30.3,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":2089,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_357KR6Z8TFG","name":"ROLL","url":"https://evidaxis.org/e/e_357KR6Z8TFG/","niche":"Post-training & Alignment","measured_line":"0.5 commits/week, 1 citations to date (count only), verified dependents not measured.","commits_per_week":0.5,"citations_to_date":1,"citations_state":"count_only","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":3408,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_Y3CPRHKVF8H","name":"Search-R1","url":"https://evidaxis.org/e/e_Y3CPRHKVF8H/","niche":"Post-training & Alignment","measured_line":"0 commits/week, 12 citations to date (count only), verified dependents not measured.","commits_per_week":0,"citations_to_date":12,"citations_state":"count_only","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":5454,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_DQT3XHMXA2C","name":"Trinity-RFT","url":"https://evidaxis.org/e/e_DQT3XHMXA2C/","niche":"Post-training & Alignment","measured_line":"0.7 commits/week, citations not measured, verified dependents not measured.","commits_per_week":0.7,"citations_to_date":null,"citations_state":"not_measured","verified_direct_dependents":null,"verified_dependents_state":"not_measured","direct_dependents_reading":null,"stars_recorded_not_scored":703,"medal_multiple":null,"medal_measure":null,"medal_tier":null,"rising":false,"snapshot_id":"9d2fe956adbc","snapshot_date":"2026-09-26"},{"entity_id":"e_B1Q69HZTTMA","name":"TRL","url":"https://evidaxis.org/e/e_B1Q69HZTTMA/","niche":"Post-training & Alignment","measured_line":"45.6 commits/week, citations not measured, 153 verified direct 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