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Comparison · DevOps

Meshes.jl vs uproot5

A side-by-side editorial comparison of Meshes.jl and uproot5 — release velocity, themes, recent moves, and the top alternatives to consider.

Meshes.jl vs uproot5: at a glance

FeatureMeshes.jluproot5
SectorDevOpsDevOps
Velocity score2.50.0
Sparks · 30d00
Top themesjulia, computational-geometry, performance, numerical-correctnessrntuple, root files, particle physics, gpu decompression
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is Meshes.jl?

Meshes.jl ships one pull request at a time, and most of them are geometry correctness

The library releases at a rate of several patch versions a week, each carrying a single merged pull request. The current run is evenly split between performance work - an optimised centroid and measure for planar polygons, further GJK tuning, a neighbour-search refactor - and correctness fixes to the same primitives, including a wrong centroid calculation and PolyArea incorrectly adding inner-ring area.

Read the full Meshes.jl trajectory →

What is uproot5?

Uproot quietly made RNTuple the default write format — filed under 'chore'.

Uproot ships small, frequent 5.7.x releases in which the RNTuple work dominates and is often buried below the feature list. Since switching the default write format to RNTuple in 5.7.0, the releases have been about making that path complete: entry bounds and report=True for RNTuple.iterate, GPU interpretation of RNTuple data with nvCOMP decompression, support for the v1.0.1.0 format, and the library kwarg finished. Two of the six releases in this window list no new features at all.

Read the full uproot5 trajectory →

Meshes.jl vs uproot5: editorial side-by-side

M
Meshes.jl
DEVOPS
2.5

Meshes.jl ships one pull request at a time, and most of them are geometry correctness

◆ Current state

The library releases at a rate of several patch versions a week, each carrying a single merged pull request. The current run is evenly split between performance work - an optimised centroid and measure for planar polygons, further GJK tuning, a neighbour-search refactor - and correctness fixes to the same primitives, including a wrong centroid calculation and PolyArea incorrectly adding inner-ring area.

◆ Where it's heading

The pattern of optimising a function and then correcting its definition a release later suggests the core geometric predicates are being systematically revisited rather than extended. This is depth work on a settled API: the same handful of operations getting faster and more numerically defensible, including on non-standard number types like BigFloat.

◆ Prediction

Expect the single-PR cadence to continue through the remaining core predicates, with measure and centroid variants for further geometry types the most likely targets. Nothing in these entries points to new geometry abstractions.

U
uproot5
DEVOPS
0.0

Uproot quietly made RNTuple the default write format — filed under 'chore'.

◆ Current state

Uproot ships small, frequent 5.7.x releases in which the RNTuple work dominates and is often buried below the feature list. Since switching the default write format to RNTuple in 5.7.0, the releases have been about making that path complete: entry bounds and report=True for RNTuple.iterate, GPU interpretation of RNTuple data with nvCOMP decompression, support for the v1.0.1.0 format, and the library kwarg finished. Two of the six releases in this window list no new features at all.

◆ Where it's heading

This is a migration project wearing patch-release clothing. The direction is that RNTuple, ROOT's newer columnar format, becomes what Uproot writes and reads by default, with the older TTree path maintained rather than developed. The GPU decompression work points further out: reading physics data straight into accelerator memory rather than staging it through the CPU. Expect the remaining gaps to keep surfacing as bug fixes in the RNTuple path as more of the field writes in the new format.

◆ Prediction

Continued 5.7.x patches closing RNTuple feature parity with TTree, with the GPU and nvCOMP path the most likely area to gain rather than just get fixed.

Alternatives to Meshes.jl and uproot5

Other DevOps 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 Meshes.jl or uproot5.

See all Meshes.jl alternatives → · See all uproot5 alternatives →

Recent activity from Meshes.jl and uproot5

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

  1. 27d agoMeshes.jlFaster centroid and measure for planar polygons
  2. 1mo agoMeshes.jlFurther GJK optimisation
  3. 1mo agouproot55.7.5: RNTuple library kwarg finished, byte-swap fix in dtype interpretation
  4. 1mo agoMeshes.jlCentroid definitions reviewed and corrected
  5. 1mo agoMeshes.jlStackOverflow fixed for atol/rtol on BigFloat
  6. 1mo agoMeshes.jlNeighbour search refactor
  7. 1mo agoMeshes.jlpolyarea docs clarify clockwise orientation
  8. 3mo agouproot5Version 5.7.4
  9. 4mo agouproot55.7.3: corrupted free_num_bytes and mktree subdirectory fixes
  10. 5mo agouproot55.7.2: GPU interpretation of RNTuple data with nvCOMP decompression
  11. 6mo agouproot5Version 5.7.1
  12. 6mo agouproot55.7.0: RNTuple becomes the default write format

Frequently asked questions

What is the difference between Meshes.jl and uproot5?

They serve adjacent needs but don't currently overlap on shipped themes. Meshes.jl 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 Meshes.jl better than uproot5?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Meshes.jl 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 DevOps products to evaluate alongside.

What are the best alternatives to Meshes.jl?

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

What are the best alternatives to uproot5?

Top uproot5 alternatives in DevOps are ranked by recent ship velocity. Browse the "uproot5 alternatives" section above for the current picks, or visit /alternatives/uproot for the full list with editorial commentary on each.