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Countly vs writexl

A side-by-side editorial comparison of Countly and writexl — release velocity, themes, recent moves, and the top alternatives to consider.

Countly vs writexl: at a glance

FeatureCountlywritexl
SectorAnalyticsAnalytics
Velocity score5.06.3
Sparks · 30d01
Top themesproduct-analytics, self-hosted, security-hardening, sandboxingxlsx, libxlsxwriter, cell-formatting, major-version
Last editorial update14h ago1h ago
WebsiteVisit →Visit →

What is Countly?

Countly's LTS line is spending its releases on hardening the surfaces customers extend.

The 25.03 LTS and 24.05 branches are moving together, and the recent content is dominated by security and scoping work rather than features. The latest LTS rebuilds the api and frontend Docker images as multi-stage builds on Debian 13 with Node 24 so compilers and build tooling no longer ship, overrides fourteen vulnerable transitive dependencies, and replaces the unmaintained v8-sandbox behind custom code with isolated-vm. Earlier releases scoped internal event hooks to their own apps, fixed the consents table returning fields beyond the consent columns, and stopped dashboard widgets being copied by users without access to the referenced apps.

Read the full Countly trajectory →

What is writexl?

writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.

For most of its history writexl was a deliberately minimal wrapper: bump the vendored libxlsxwriter, handle NA and Date coercion correctly, support a list of data frames for multiple sheets, and nothing else. 2.0.0, released August 2026, changes that — near-full libxlsxwriter coverage, cell/worksheet/workbook formatting, cell comments, an `xl_cell_general` class carrying value, formula and hyperlink, a cell-by-cell refactor, libxlsxwriter 1.2.4, and memory-safety work. It landed the same day as 1.5.4, a typo fix on the old line.

Read the full writexl trajectory →

Countly vs writexl: editorial side-by-side

C
Countly
ANALYTICS
5.0

Countly's LTS line is spending its releases on hardening the surfaces customers extend.

◆ Current state

The 25.03 LTS and 24.05 branches are moving together, and the recent content is dominated by security and scoping work rather than features. The latest LTS rebuilds the api and frontend Docker images as multi-stage builds on Debian 13 with Node 24 so compilers and build tooling no longer ship, overrides fourteen vulnerable transitive dependencies, and replaces the unmaintained v8-sandbox behind custom code with isolated-vm. Earlier releases scoped internal event hooks to their own apps, fixed the consents table returning fields beyond the consent columns, and stopped dashboard widgets being copied by users without access to the referenced apps.

◆ Where it's heading

The pattern across these releases is closing the gaps where a customer-supplied artefact — custom hook code, a copied widget, a projection on a request — could reach further than intended. That work is now touching the runtime itself, and the isolated-vm swap is a breaking change: custom code relying on setTimeout, setInterval or async completion fails with a logged error instead of running. The journey engine is the only place shipping genuinely new capability, and it is enterprise-only.

◆ Prediction

Expect follow-up releases to soften the custom-code migration, since the isolated-vm switch silently breaks any hook that awaited a timer, and further ab-testing work now that pystan has been replaced with compiled Stan executables.

W
writexl
ANALYTICS
6.3

writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.

◆ Current state

For most of its history writexl was a deliberately minimal wrapper: bump the vendored libxlsxwriter, handle NA and Date coercion correctly, support a list of data frames for multiple sheets, and nothing else. 2.0.0, released August 2026, changes that — near-full libxlsxwriter coverage, cell/worksheet/workbook formatting, cell comments, an `xl_cell_general` class carrying value, formula and hyperlink, a cell-by-cell refactor, libxlsxwriter 1.2.4, and memory-safety work. It landed the same day as 1.5.4, a typo fix on the old line.

◆ Where it's heading

The package has changed category. Its selling point was being the dependency-free, opinion-free way to get a data frame into xlsx; 2.0.0 makes it a formatting-capable writer that now compares itself against openxlsx2 in its own test suite. The cell-by-cell refactor is what made that possible and is also the largest structural change in the package's history. Note that a single contributor drove essentially all of it.

◆ Prediction

Expect follow-up releases fixing edge cases in the new formatting and comment APIs — the cell-by-cell rewrite is too large to land clean, and the 2.0.0 notes already mention an off-by-one in date columns.

Alternatives to Countly and writexl

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 Countly or writexl.

See all Countly alternatives → · See all writexl alternatives →

Recent activity from Countly and writexl

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoCountlyCustom-code sandbox swapped to isolated-vm; images rebuilt on Node 24
  2. 8d agowritexlwritexl 2.0.0 adds formatting, comments and full libxlsxwriter coverage
  3. 8d agowritexlwritexl 1.5.4 fixes a documentation typo
  4. 10d agoCountlyFixes for event keys containing special characters
  5. 10d agoCountlyJourney deeplinks take dynamic parameters; hooks validated on save
  6. 21d agoCountlyStar-rating logo path and data-manager transformation fixes
  7. 22d agoCountlyLTS backport: data-manager transformation fix
  8. 1mo agoCountlyJourneys survive user merges; SDK-provided asset paths
  9. 5y agowritexlwritexl 1.4.0 updates libxlsxwriter to 1.0.3
  10. 6y agowritexlwritexl 1.2 fixes NA in formulas and hyperlinks
  11. 7y agowritexlwritexl 1.1 fixes NA strings and bit64 coercion
  12. 8y agowritexlwritexl 1.0 writes Date values as datetimes

Frequently asked questions

What is the difference between Countly and writexl?

They serve adjacent needs but don't currently overlap on shipped themes. writexl is currently shipping more aggressively (velocity 6.3 vs 5.0), 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 Countly better than writexl?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. writexl is currently shipping more aggressively (velocity 6.3 vs 5.0), 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.

What are the best alternatives to Countly?

Top Countly alternatives in Analytics are ranked by recent ship velocity. Browse the "Countly alternatives" section above for the current picks, or visit /alternatives/countly for the full list with editorial commentary on each.

What are the best alternatives to writexl?

Top writexl alternatives in Analytics are ranked by recent ship velocity. Browse the "writexl alternatives" section above for the current picks, or visit /alternatives/writexl for the full list with editorial commentary on each.