ToolJet
Observability lands on OpenTelemetry semconv in the LTS train
Comparison · Infra & APIs
authentik vs ddml
A side-by-side editorial comparison of authentik and ddml — release velocity, themes, recent moves, and the top alternatives to consider.
authentik vs ddml: at a glance
What is authentik?
authentik 2026.8 ships: Actors, domain-joined Agents, and a push past browser-mediated SSO
2026.8.0 is out, closing a seven-candidate train that ran through early August. The GA tag itself is the last cherry-pick batch — SCIM group membership removals, a proxy redirect that preserves query strings, session deletion on user deactivation — but the release it finalizes is where the substance lives: an Actors primitive in core, an enterprise Agent requiring a domain join and its own API scope, OAuth2 token exchange delegation, and a CAS source integration.
What is ddml?
Double machine learning in R keeps adding estimands and the inference to go with them.
ddml implements double and debiased machine learning estimators, with a stacking layer so the nuisance functions can be fit by an ensemble rather than a single learner. The estimand list has grown from partially linear models to average treatment effects, treatment effects on the treated, and local average treatment effects, and 0.3.0 added one-way clustered inference. The most recent release is maintenance: xgboost syntax, glmnet binomial predictions, weights in the flexible partially linear IV estimator.
authentik vs ddml: editorial side-by-side
authentik
6.3INFRA · APIS
authentik 2026.8 ships: Actors, domain-joined Agents, and a push past browser-mediated SSO
◆ Current state
2026.8.0 is out, closing a seven-candidate train that ran through early August. The GA tag itself is the last cherry-pick batch — SCIM group membership removals, a proxy redirect that preserves query strings, session deletion on user deactivation — but the release it finalizes is where the substance lives: an Actors primitive in core, an enterprise Agent requiring a domain join and its own API scope, OAuth2 token exchange delegation, and a CAS source integration.
◆ Where it's heading
Two threads converge in this major. The identity surface keeps broadening at the protocol edge — CAS, WS-Fed, token exchange delegation, on-behalf-of — while the enterprise tier grows an endpoint story that reaches machines and devices rather than browser sessions. The RC train's shape reinforces it: six candidates fired in one day on CI and docs, then one heavy candidate carrying the features, then a fix-only close. That is release engineering hardened around a major, not a routine point release.
◆ Prediction
With Agents and Actors now GA rather than cherry-picks, the next branch should build out what they enable — device-conditioned policies or agent-brokered credentials — while 2026.8.x settles into backport patches.
ddml
0.0INFRA · APIS
Double machine learning in R keeps adding estimands and the inference to go with them.
◆ Current state
ddml implements double and debiased machine learning estimators, with a stacking layer so the nuisance functions can be fit by an ensemble rather than a single learner. The estimand list has grown from partially linear models to average treatment effects, treatment effects on the treated, and local average treatment effects, and 0.3.0 added one-way clustered inference. The most recent release is maintenance: xgboost syntax, glmnet binomial predictions, weights in the flexible partially linear IV estimator.
◆ Where it's heading
Two lines of work run in parallel. One extends what can be estimated, the other makes the estimates trustworthy under real data conditions, and the second is where the recent effort has gone: clustered standard errors, propensity score trimming, higher default fold counts, corrected ATE and LATE scores. Raising sample_folds and cv_folds to ten is a small change with a clear intent, trading compute for stability.
◆ Prediction
Clustered inference arrived one-way; two-way and multi-way clustering are the obvious continuation. The stacking layer is also accumulating edge-case handling, so expect more work on degenerate ensemble weights.
Alternatives to authentik and ddml
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either authentik or ddml.
Honeycomb
Canvas agents gain memory, and onboarding moves into the editor
GitHub
Security and governance controls catch up to the Copilot build-out
Rancher
Rancher's public feed is a build-tag stream: three branches bumped the same Go image on one afternoon
Buildkite
Buildkite keeps converting hand-rolled agent workarounds into first-class CI primitives.
Cursor
Cursor's agents stop waiting to be asked - they subscribe, and they hold a goal until it's done.
See all authentik alternatives → · See all ddml alternatives →
Recent activity from authentik and ddml
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoauthentikauthentik 2026.8 goes GA with Actors and domain-joined Agents ⚡
- 9d agoauthentikauthentik 2026.8.0-rc7 lands Actors, enterprise Agents, and CAS sources
- 16d agoauthentik2026.8.0-rc6: flaky test and CI metadata fixes
- 16d agoauthentik2026.8.0-rc5: release plumbing only
- 16d agoauthentik2026.8.0-rc4: fix-only candidate
- 16d agoauthentik2026.8.0-rc3: cherry-picked fixes and CI work
- 8mo agoddmlFixes for weighted FPLIV, binomial glmnet and empty stacking weights
- 1y agoddmlOne-way clustered inference and higher default fold counts
- 2y agoddmlPropensity score trimming added across the treatment effect estimators
- 2y agoddmlFixes permuted residuals returned by crossval
- 2y agoddmlATT and LATE estimators join the supported estimands
Frequently asked questions
What is the difference between authentik and ddml?
They serve adjacent needs but don't currently overlap on shipped themes. authentik is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is authentik better than ddml?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. authentik is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to authentik?
Top authentik alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "authentik alternatives" section above for the current picks, or visit /alternatives/authentik for the full list with editorial commentary on each.
What are the best alternatives to ddml?
Top ddml alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ddml alternatives" section above for the current picks, or visit /alternatives/ddml for the full list with editorial commentary on each.