silx
silx settles into maintenance a release after its PySide6 migration
A side-by-side editorial comparison of AgencyAnalytics and stockplotr — release velocity, themes, recent moves, and the top alternatives to consider.
AgencyAnalytics is turning its assistant into scheduled agency staff work, not a chat box.
The release cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, letting those requests run on a cadence and post results into the client's conversation. Around them sit portfolio-management improvements — client tags, report share history, advanced metric filtering — and a consolidated Data tab feeding the assistant's context.
A stock-assessment plotting package is growing a table engine to match its figures.
stockplotr generates the figures and, since 0.8.0-beta, the tables that go into NOAA fisheries stock assessment reports. The 0.8.0 release swapped the table backend from flextable to gt and shipped table_landings() as the first table function; 0.9.0 exported it with an interface deliberately mirroring the plot functions. Alongside that, convert_output() moved in from the sister package asar so model output is standardized here rather than upstream.
The release cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, letting those requests run on a cadence and post results into the client's conversation. Around them sit portfolio-management improvements — client tags, report share history, advanced metric filtering — and a consolidated Data tab feeding the assistant's context.
Every recent release either gives AgencyAI more to read or more autonomy in when it runs. The Data tab consolidation, the AI Tracker add-on for AI search visibility, and now scheduling all point the same way: the platform is being positioned to produce the recurring client deliverables an agency would otherwise assign to a junior analyst.
Expect scheduled AgencyAI output to gain delivery paths beyond conversation history — into reports or client-facing sends — given the existing report scheduling and share infrastructure.
stockplotr generates the figures and, since 0.8.0-beta, the tables that go into NOAA fisheries stock assessment reports. The 0.8.0 release swapped the table backend from flextable to gt and shipped table_landings() as the first table function; 0.9.0 exported it with an interface deliberately mirroring the plot functions. Alongside that, convert_output() moved in from the sister package asar so model output is standardized here rather than upstream.
The package is consolidating the whole report-artifact pipeline in one place: standardize model output, then emit both figures and tables from the same long-format frame. Pulling convert_output() out of asar because stockplotr depended on it more heavily is the clearest signal of where the center of gravity now sits. Everything is still tagged beta, and the plot function count is growing faster than the table one.
More table_* functions built on the gt foundation are the obvious next step, matching the existing plot_* set; the 0.9.0 notes describe table_landings() as the first of a revamped family rather than a one-off.
Other Analytics 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 AgencyAnalytics or stockplotr.
silx settles into maintenance a release after its PySide6 migration
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread stops asking you to know which tracker wrote the file
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
OpenCTI spends a release unblocking queues and hardening upserts
See all AgencyAnalytics alternatives → · See all stockplotr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics 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 Analytics products to evaluate alongside.
Top AgencyAnalytics alternatives in Analytics are ranked by recent ship velocity. Browse the "AgencyAnalytics alternatives" section above for the current picks, or visit /alternatives/agencyanalytics for the full list with editorial commentary on each.
Top stockplotr alternatives in Analytics are ranked by recent ship velocity. Browse the "stockplotr alternatives" section above for the current picks, or visit /alternatives/stockplotr-r for the full list with editorial commentary on each.