black-jack

Library Archived

DataFrame / Series / general data processing in Rust

Checked · Sources

Downloads
1
Dependents
0
Stars
31
Forks
5
Contributors
3
Commits
217
Latest release
0.1.0 ·

Why Archived

GitHub reports the repository as archived.

Exact rules: Instant archive. The check on applied thresholds version 9.

Every rule outcome, as the check records it
  • instant-archive: repository is archived

About

From the project README ·

While PRs are welcome, the approach taken only allows for concrete types (String, f64, i64, ...) I'm not sure this is the way to go. I want to think that using anything which implements serde::{Serialize, Deserialize} and better use of traits may have more flexibility, just not sure how to do that yet. The project is not abandoned, just in limbo. :-)

Rust API Documentation


BlackJack strives to be a full featured crate for general data processing.

Long term goal is to create a lightweight Pandas equivalent by and for the Rust community, but with slight differences in focus...

The project strives for a few key principles. When any implementation decisions are to be made, they are made with these principles in mind, and in this order:

  1. Memory efficiency
    • Minimize memory use at every opportunity.
  2. Usability
    • Strive for ergonomics; often done by modeling the Pandas API where possible.
  3. Speedy
    • It comes naturally most times with Rust. :)

Eventually we'll have a Python wrapper: Lumber-Jack associated with this crate, but that time will come.

Read the full README
Example use:

// We have a dataframe, of course...
let mut df = DataFrame::new();

// Make some series, of different types
let series_i32: Series<i32> = Series::arange(0, 5);
let mut series_f64: Series<f64> = Series::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]);

// You can set a series name!
series_f64.set_name("my-series");

// Or not... 
assert_eq!(series_i32.name(), None);

// And add them to the dataframe
df.add_column(series_f64).unwrap();
df.add_column(series_i32).unwrap();

// And then get a reference to a Series
let series_f64_ref: &Series<f64> = df.get_column("my-series").unwrap();

Read a CSV file:

Also supports reading .gz files


// Define the path to file
let path: &str = concat!(env!("CARGO_MANIFEST_DIR"), "/tests/data/medium_csv.csv");

// Use the `Reader` to read the dataframe
let df = Reader::new(&path).read().expect("Failed to read file");

// Get a refrence to a specific column and assert the sum of that series
let series2: &Series<i32> = df.get_column("col2").unwrap();

assert_eq!(series2.sum(), 3000);

Query/filter a dataframe

let mut s1 = Series::from(0..5);
s1.set_name("col1");

let mut s2 = Series::from(10..15);
s2.set_name("col2");

let mut s3 = Series::from_vec(vec![
    "foo".to_string(),
    "bar".to_string(),
    "foo".to_string(),
    "bar".to_string(),
    "foo".to_string(),
]);
s3.set_name("col3");

let mut df = DataFrame::new();
assert!(df.add_column(s1).is_ok());
assert!(df.add_column(s2).is_ok());
assert!(df.add_column(s3).is_ok());

// Before filtering, we're len 5 and first element of 'col1' is 0
assert_eq!(df.len(), 5);

df.filter_by_row(|row| row["col1"] == Datum::I32(&0));

// After filtering, we're len 4 and first element of 'col1' is now 1
assert_eq!(df.len(), 4);

// Filter by string foo,
df.filter_by_row(|row| row["col3"] != Datum::STR(&"foo".to_string()));
assert_eq!(df.len(), 2);

and a whole lot more..


Development


Contributing

All contributions are welcome. Contributors of this project are expected to treat all others with respect and dignity; acknowledging there will be differences of opinion and strive to provide a welcoming environment for others, regardless of skill level.

Additionally, all contributions, unless otherwise stated, will be given under the Unlicense and/or MIT licenses.

Runs on
GPU support unknown
What shows it
  • no dependency or feature matches a backend row
Native code
Required
  • Binds native code: GSL-sys
Python bindings
No Python binding crate found
License
GPL-3.0

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.

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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.

Sources6 sources
Adoption0 active dependents, 0 new dependents in 365 days1 not measured
Adoption measurements
SignalValueSourceFetchedCounts
Active dependents0crates.io database dumpYes
New dependents (365 days)0crates.io database dumpYes
Peak active dependents0crates.io database dumpYes
Active dependents as a share of the peak1crates.io database dumpYes
Binary downloads per releaseNot measuredYes
MaintenanceLatest human commit: 6 years ago3 not measured
Maintenance measurements
SignalValueSourceFetchedCounts
Latest human commit2020-02-15GitHub repositoryYes
Latest release2019-04-28crates.io database dumpYes
First release2018-08-18crates.io database dumpYes
Latest version0.1.0crates.io database dumpYes
Days the oldest outside issue waits for a reply2190GitHub repositoryYes
Maintainer replies over 365 days0GitHub repositoryYes
Repository archivedtrueGitHub repositoryYes
Repository gonefalseGitHub repositoryYes
Release commit or manifest in the repotruecrates.io packageYes
Published docstruecrates.io database dumpYes
Latest release fails cargo checkNot measuredYes
Build check dateNot measuredYes
Build check toolchainNot measuredYes
SecurityUnpatched vulnerabilities: none
Security measurements
SignalValueSourceFetchedCounts
Unpatched vulnerabilities past the grace windownoneRustSec advisory databaseYes
RustSec unmaintained advisorynoneRustSec advisory databaseYes
Deprecation noticenonecrates.io database dumpYes
Deprecated requirementbincode (RUSTSEC-2025-0141, https://rustsec.org/advisories/RUSTSEC-2025-0141.html)crates.io database dumpYes
Distribution10 releases, 1 downloads over 30 days5 not measured
Distribution measurements
SignalValueSourceFetchedCounts
Releases10crates.io database dumpYes
Downloads over 30 days1crates.io database dumpYes
Binary downloads over the last 3 releasesNot measuredYes
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 prereleasefalsecrates.io database dumpYes
Every version 0.0.xfalsecrates.io database dumpYes
Every version yankedfalsecrates.io database dumpYes
Crate deleted from crates.iofalsecrates.io database dumpYes
Repository31 stars, 5 forks, 3 contributors, 217 commits. Stars alone never qualify a project.
Repository measurements
SignalValueSourceFetchedCounts
GitHub stars31GitHub 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 branch217GitHub repositoryNo
Repository's main crate left out of the entrynonecrates.io database dumpYes
Facts that never count
Facts that never count measurements
SignalValueSourceFetchedCounts
LicenseGPL-3.0GitHub repositoryNo
Runs on, from listed crates and their direct dependenciesGPU support unknowncrates.io database dumpNo
What shows each backendno dependency or feature matches a backend rowcrates.io database dumpNo
Native code, from listed crates and their dependenciesBinds native code: GSL-syscrates.io database dumpNo
Python bindings, from direct dependencies of listed cratesNo Python binding crate foundcrates.io database dumpNo
Crates that depend on a listed crate directly0crates.io database dumpNo

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