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Comparison · Infra & APIs
Fail2Ban vs profileCI
A side-by-side editorial comparison of Fail2Ban and profileCI — release velocity, themes, recent moves, and the top alternatives to consider.
Fail2Ban vs profileCI: at a glance
What is Fail2Ban?
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
Fail2Ban watches log files for authentication failures and bans the offending addresses through the local firewall. It remains a default component of Linux server hardening, and its release cadence has never matched that prominence — six releases in the eight years before this one. The 1.1.1 final has now landed, closing a beta that had sat unfinished since June 2025, and it installs a systemd-managed socket rather than relying solely on the daemon's own startup.
What is profileCI?
Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.
profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.
Fail2Ban vs profileCI: editorial side-by-side
Fail2Ban
2.5INFRA · APIS
Fail2Ban finally ships 1.1.1 after 14 months in beta, with a botched deb package on the way out the door
◆ Current state
Fail2Ban watches log files for authentication failures and bans the offending addresses through the local firewall. It remains a default component of Linux server hardening, and its release cadence has never matched that prominence — six releases in the eight years before this one. The 1.1.1 final has now landed, closing a beta that had sat unfinished since June 2025, and it installs a systemd-managed socket rather than relying solely on the daemon's own startup.
◆ Where it's heading
The pattern is long silences broken by releases that mostly absorb external change — Python 3.12 and 3.13 compatibility in 1.1.0, a Dovecot filter regression in 1.0.2 — with the substance deferred to a ChangeLog the feed does not carry. What is different this time is the contributor list, which runs to a dozen first-time contributors, suggesting the delay was throughput rather than abandonment. The release also had to be re-cut: the first Debian package shipped with wrong paths from a missing systemd-dev build dependency and was pulled and replaced.
◆ Prediction
Given the beta-to-final gap just closed and the volume of first-time contributors merged into it, the useful thing to watch is whether the next release arrives in months rather than years; the entries do not indicate what it would contain.
profileCI
0.0INFRA · APIS
Profile-likelihood confidence intervals for any fitted model, in a feed that publishes out of order.
◆ Current state
profileCI computes confidence intervals from the profile log-likelihood for user-supplied fitted models, generalising what confint.glm does for GLMs to any model object exposing a log-likelihood. The releases handle the awkward cases that make profiling fail in practice: infinite limits when the profile never drops below the interval threshold, bounded profiling ranges, and interpolation that breaks down near the limits. Only convex log-likelihoods are supported, so disjoint intervals are out of scope by design.
◆ Where it's heading
Work is concentrated on numerical reliability rather than scope: 1.1.1 replaced quadratic with monotonic cubic spline interpolation because the quadratic form could fail, and corrected parameter values stored near the confidence limits. The feed publishes these out of order, with the v1.0.0 entry stamped six months after v1.1.0 and carrying the package's full description rather than a changelog, so release order should be read from the version numbers rather than the dates. The same maintainer's revdbayes has been in pure maintenance across this period, which places profileCI as the more active project.
◆ Prediction
Expect further robustness work at the profiling limits and more logLikFn methods for common model classes, following the nls method added in 1.1.0.
Alternatives to Fail2Ban and profileCI
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 Fail2Ban or profileCI.
rJavaEnv
The R package that installs Java for you stopped needing an update every time Java ships.
SLmetrics
A young ML metrics package rewrote its own backend twice in six months chasing speed.
traits.build
The AusTraits engine, generalised for anyone's trait database, now links measurements to real specimens.
rwasm
The toolchain that gets R packages into the browser is optimising for payload size, not features.
plogr
A logging header for Rcpp packages that sat untouched for nine years, then changed how it switches on
See all Fail2Ban alternatives → · See all profileCI alternatives →
Recent activity from Fail2Ban and profileCI
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20h agoFail2Ban1.1.1 final lands with systemd socket activation
- 6mo agoprofileCICubic spline interpolation replaces a quadratic that could fail
- 7mo agoprofileCICRAN 1.0.0 release of profile-likelihood interval computation
- 1y agoprofileCIInfinite limits and bounded profiling ranges handled
- 1y agoFail2Ban1.1.1 beta, superseded 14 months later by the final
- 2y agoFail2Ban1.1.0 restores Python 3.12 and 3.13 compatibility
- 3y agoFail2Ban1.0.2 fixes a Dovecot filter regression
- 3y agoFail2Ban1.0.1 rolls up filter and action updates
- 5y agoFail2Ban0.11.2 stability and filter updates
Frequently asked questions
What is the difference between Fail2Ban and profileCI?
They serve adjacent needs but don't currently overlap on shipped themes. Fail2Ban is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 Fail2Ban better than profileCI?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Fail2Ban is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 Fail2Ban?
Top Fail2Ban alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Fail2Ban alternatives" section above for the current picks, or visit /alternatives/fail2ban for the full list with editorial commentary on each.
What are the best alternatives to profileCI?
Top profileCI alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "profileCI alternatives" section above for the current picks, or visit /alternatives/profileci for the full list with editorial commentary on each.