Active
166A release or commit in the last 12 months. Use confidently — the project is shipping. The Active cohort is the working answer to "what is alive in this space right now".
"Is this project still alive?" — answered per row, across the whole catalog. Every record is classified by the freshness of the most recent date we could parse from its cells. Use this view to size the fraction of the field that is actively shipping versus historical, and to spot dead-but-still-cited systems whose ideas remain load-bearing.
A release or commit in the last 12 months. Use confidently — the project is shipping. The Active cohort is the working answer to "what is alive in this space right now".
Last signal 12–24 months ago. Re-verify the README, changelog, and recent issues before recommending. A stale row is often a project on a slow cadence rather than a dead one, but the burden of proof is on the catalog user.
No signal in 24+ months. Treat as historical: it shipped, it influenced things, but production deployments should not depend on it being maintained. The "Abandoned but cited" card below surfaces the abandoned rows the rest of the catalog still builds on.
No parseable freshness signal in our cells — most often because the record is a closed-source product that does not publish a changelog. This is a limit of our signal, not a property of the system. The breakdown below shows the structure.
Tier 3–5: papers, techniques, theoretical proposals. "Active development" is the wrong frame — these contribute ideas, not maintained codebases. Where a research record has a stale public repo AND is still cited, it surfaces in the "Abandoned but cited" card.
The Unknown bucket dominates the catalog (364 / 912 rows). Most of that is structural — closed-source products with no public release cadence — not evidence of abandonment. The breakdown below makes that structure visible.
Proprietary products with no public release cadence. Common for T1 commercial vendors. The catalog cannot observe their internal status — this is a limit of our signal, not a property of the system.
Has a GitHub presence but we did not capture a parseable "last commit" date in the cell. Fixable by deeper data collection on these specific rows.
Created in the last 6 months. Too new to assess freshness — re-check at the next snapshot.
Genuinely not applicable: benchmark or evaluation harness mislabelled as a product, or a record that explicitly carries no operational signal.
The most actionable finding of this view. These rows show as Abandoned (or as research with a stale public repo) yet remain load-bearing in the catalog — other systems still cite them, build on them, or integrate against them. Re-verify before any new work depends on them; consider the lineage and the active siblings. Score = inbound integrations × 3 + inbound citations.
Recent method papers — theorized, no distinct product
lineage EWC (Elastic Weight Consolidation) family
last commit 2021-10 (55mo)
Recent method papers — theorized, no distinct product
lineage EWC (Elastic Weight Consolidation) family
last commit 2022-12 (41mo)
Recent method papers — theorized, no distinct product
lineage EWC (Elastic Weight Consolidation) family
last commit 2020-05 (72mo)
Recent method papers — theorized, no distinct product
lineage EWC (Elastic Weight Consolidation) family
last commit 2020-11 (66mo)
Recent method papers — theorized, no distinct product
lineage EWC (Elastic Weight Consolidation) family
last commit 2023-06 (35mo)
Each row shows one section. The proportion bar gives the status mix at a glance; the dot strip below shows the individual records. Rows are ordered by aging score (stale + abandoned share, excluding research) — so the section with the most-quiet maintained surface surfaces first.
Histogram of the Active bucket's created dates, bucketed
by year-quarter. Shows the age distribution of the alive systems:
a back-loaded shape means the field is fresh (most live systems are
young); a front-loaded shape means the field has mature winners that
keep shipping.