nebula

App Listed Dormant

A Package Manager for Machine Learning Datasets and Models.

Checked · Sources

Downloads
Not measured
Dependents
Not applicable
Stars
85
Forks
5
Contributors
3
Commits
45

About

From the project README ·

Nebula - A package manager for machine learning datasets and models.

A package manager for machine learning datasets and models.

Main Goal

Design of overal architecture and documentation to start onboarding contributors.

Current state of the Architecture

Nebula CLI

Uses either a legecy (interactive) command-line or a ratatui frontend. Whereas the latter is experimental and hidden behind the feature flag tui.

Commands

The Nebula CLI provides a set of commands to interact with the Nebula package manager. This is a copy from the nebula_cli --help output:

Read the full README
A package manager for machine learning datasets and models acting as client for Nebula registries.

Usage: nebula_cli [OPTIONS] [COMMAND]

Commands:
  init       init a virtual environment in the given folder (not yet)
  status     prints status information (not yet)
  install    Installs a package (not yet)
  update     Updates a specific package or all packages (not yet)
  uninstall  Uninstall a specific package or all packages (not yet)
  search     Searches packages by complex criteria (not yet)
  list       List packages that fit simple criteria e.g.(non)-installed,
  sync       Sync the local cache with the remote registry
  help       Print this message or the help of the given subcommand(s)

Options:
      --tui                 use a [ratatui] based terminal user interface instead of a simple cmd-tool
  -i, --interactive         start the cmd-tool in interactive mode, that allows typing multiple commands
  -v, --verbose             use verbose output, only in non TUI mode
  -t, --tick-rate <FLOAT>   Tick rate, i.e. number of ticks per second in tui [default: 4]
  -f, --frame-rate <FLOAT>  Frame rate, i.e. number of frames per second in tui [default: 60]
  -h, --help                Print help
  -V, --version             Print version
help # Shows help for a specific command

Examples:

nebula sync # gets the newest metadata locally from the remote registry
nebula search climate_data # Search for packages related to climate data
nebula install neural_net_model_v2 --version 1.0.1 # Install a specific version of a model
nebula install climate_dataset_2023 # Install the latest version of a dataset
nebula update --all # Update all installed datasets and models
nebula uninstall outdated_model # Remove an outdated model

Nebula Registry

The Nebula CLI communicates with the registry via gRPC using Tonic. The registry can be self-hosted if desired and using the CLI we can configure the registry URL.

As for now the registry supports the following endpoints:

service NebulaPackageQuery {
    // Gets detailed information for one specific package
    rpc GetPackageInfo (PackageRequest) returns (PackageInfo);

    // List all packages with very simple search criteria
    rpc ListPackages (ListPackagesRequest) returns (PackageList);

    // Search packages applying several filters
    rpc SearchPackages (SearchPackagesRequest) returns (PackageList);
}

For more information see the proto file.

The datasets and models are stored elsewhere for now and based on the URL the client is expected to send further GET requests.

Nebula Registry Web

In the far away future we might implement a web interface for the Nebula registry.

License

The BSD 3-Clause License.

License
BSD-3-Clause
Crate facts
Not measured
  • Runs on, Native code and Python bindings read crates on crates.io. This entry lists no crate.

Compare with similar projects

Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.

nebula beside the projects that share a topic with it
ProjectDownloadsDependentsStarsLatest releaseRuns on (GPU)Native codeLicense
nebula This page App Listed Dormant

A Package Manager for Machine Learning Datasets and Models.

Not measured Not applicable 85 Not measured Not measured Not measured BSD-3-Clause
hf-hub Featured

Rust client for the Hugging Face Hub API

3,442,405 downloads over 30 days 578 343 1.0.0 GPU support unknown No native code found Apache-2.0
ndarray-npy Featured

.npy and .npz file format support for ndarray

560,950 downloads over 30 days 99 71 0.10.0 GPU support unknown No native code found Apache-2.0 OR MIT
zarrs Featured

A library for the Zarr storage format for multidimensional arrays and metadata

75,052 downloads over 30 days 51 285 0.23.14 GPU support unknown Binds native code: blosc-src (feature blosc), gdeflate-sys (feature gdeflate), zfp-sys (feature zfp), zstd-sys (feature zstd) Apache-2.0 OR MIT
xet-core Listed

Async runtime, configuration, logging, and utility infrastructure for the Hugging Face Xet client tools.

Python bindings

467,103 downloads over 30 days 9 625 1.8.0 GPU support unknown No native code found Apache-2.0
oxen App Listed

Oxen server is a fast data version control backend, supporting local disk and S3. Self host your repositories on your own storage, or use the hosted platform on Oxen.ai. Stores, syncs, and serves versioned datasets, model checkpoints, game assets, studio media, and any large data.

126 binary downloads per release Not applicable 1,208 0.67.0 GPU support unknown Binds native code: librocksdb-sys, lmdb-master-sys, ffmpeg-sys-next (feature ffmpeg), libduckdb-sys (feature docs) Apache-2.0
compressr App New

Model conversion and quantization with no Python: reads SafeTensors, GGUF, TCF and PyTorch state dicts, writes SafeTensors, GGUF and TCF, and quantizes to Q2_K through Q8_0 and IQ4 formats, including Q4_K_M mixes. GPTQ, AWQ, NF4, FP8, EXL2 and ONNX input are not implemented.

Python bindings

23 downloads over 30 days Not applicable 0 0.2.1 GPU support unknown No native code found Apache-2.0
Why ListedNo archive, New or Featured rule places it, so it is Listed.

What it lacks for Featured

What else the check found

  • The last activity is on 14 Apr 2025, 574 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule
  • The oldest outside issue waits 687 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals rule

Not measured: Latest release, Unpatched vulnerabilities past the grace window, First release.

Exact rules: Listed, Featured app. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • expected-interval: app: E = 365 days
  • dormancy: last activity 2025-04-14, 574 days ago, E = 365: dormant
  • rot: oldest unanswered issue 687 days (limit 270), no maintainer reply in 365 days
  • featured: not featured: dormant and not stable
  • listed: listed: no archive, new or featured rule applies

Measurements and sources

Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.

Sources4 sources
AdoptionNot measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependentsNot measuredYes
New dependents (365 days)Not measuredYes
Peak active dependentsNot measuredYes
Active dependents as a share of the peakNot measuredYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 19 months ago8 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2025-04-14GitHub repositoryYes
Latest releaseNot measuredYes
First releaseNot measuredYes
Latest versionNot measuredYes
Days the oldest outside issue waits for a reply687GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedfalseGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repoNot measuredYes
Published docsNot measuredYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityNot measured
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windowNot measuredYes
RustSec unmaintained advisoryNot measuredYes
Deprecation noticeNot measuredYes
Deprecated requirementNot measuredYes
Distribution0 binary downloads over the last 3 releases10 not measured
Distribution measurements
SignalValueSourceFetchedCounts
ReleasesNot measuredYes
Downloads over 30 daysNot measuredYes
Binary downloads over the last 3 releases0GitHub releasesYes
Homebrew installs on request over 365 daysNot measuredYes
Repology repository familiesNot measuredYes
Docker pull growth over 90 daysNot measuredYes
Docker pulls at the growth baselineNot measuredYes
Every version a prereleaseNot measuredYes
Every version 0.0.xNot measuredYes
Every version yankedNot measuredYes
Crate deleted from crates.ioNot measuredYes
Repository85 stars, 5 forks, 3 contributors, 45 commits. Stars alone never qualify a project.1 not measured
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars85GitHub repositoryYes — one part of the repository route
GitHub forks5GitHub repositoryYes — one part of the repository route
Contributors with a GitHub account3GitHub contributorsYes — one part of the repository route
Commits on the default branch45GitHub repositoryNo
Repository's main crate left out of the entryNot measuredYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseBSD-3-ClauseGitHub repositoryNo
Runs on, from listed crates and their direct dependenciesNot measuredNo
What shows each backendNot measuredNo
Native code, from listed crates and their dependenciesNot measuredNo
Python bindings, from direct dependencies of listed cratesNot measuredNo
Crates that depend on a listed crate directlyNot measuredNo

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Judgments

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