Theme · updated weekly

Package Split — SaaS tools & trends 2026

6 products Sparkpulse tracks are shipping around package split. The highest-velocity package split products right now are zarr-python, stRoke and glyfun (ranked by Sparkpulse's velocity score). The theme runs across 3 sectors, so the momentum you see here is drawn from products competing in different corners of the market. Their velocity scores span 0.0 to 6.3 out of 10, a spread that shows how unevenly shipping cadence is distributed across the field. Below: every tracked product carrying this theme, updated from release data. Everything on this page is regenerated from verified release data, so the ranking reflects the latest changelogs rather than a static list.

Products shipping around package split

#01zarr-pythonZarr's monorepo split keeps spinning out standalone packages, each with its own release cadence.6.3alternatives →

#02stRokeSplit itself in two, keeping the stroke-trial functions and exporting the rest0.0alternatives →

#03glyfunglyfun is three releases old and has spent all of them chasing glyexp's container change.0.0alternatives →

#04MICAn antimicrobial testing package cut its genomic half loose to become one thing well.0.0alternatives →

#05feastsfeasts is splitting itself in two, moving every plot into ggtime0.0alternatives →

#06pymatgenpymatgen split its core into a separate package without breaking a single import.0.0alternatives →

Frequently asked questions about package split

Which SaaS tools ship package split in 2026?

zarr-python, stRoke, glyfun, MIC, feasts, and 1 more — the package split products Sparkpulse tracks, ranked by shipping velocity from verified changelogs.

Which package split product has the highest shipping velocity?

zarr-python, with the top velocity score (6.3/10) — Sparkpulse's velocity score is derived from verified release data.

How many products are shipping around package split?

Sparkpulse currently tracks 6 products carrying the package split theme, updated continuously from verified release data.