View xgboost on Snyk Open Source Advisor

Package Health Score

88 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Sustainable
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 26.41K
Forks: 8.74K
Contributors: 410

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package xgboost, we found that it has been starred 26,413 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 26, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 400
Open PR: 59
Last Release: 26 days ago
Last Commit: 2 days ago

Further analysis of the maintenance status of xgboost based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that xgboost demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 410
Funding: Yes

A good and healthy external contribution signal for xgboost project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like xgboost is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 9 years
Latest Release: 26 days ago
Dependencies: 2 Direct
Versions: 76
Maintainers: 0
Wheels: Linux, macOS, Windows

Not sure how to use xgboost?

To help you get started, we've collected the most common ways that xgboost is being used within popular public projects.

Gofinge / Analysis-of-Stock-High-Frequent-Data-with-LSTM / tests / test_xgboost.py View on Github

# step 2: Select Feature
data = extract_feature_and_label(data, feature_name_list=conf['feature_name'], label_name_list=conf['label_name'])

# step 3: Preprocess
train, test = divide_train_and_test(data, conf['training_set_proportion'])
train_x, train_y = data_transform_for_xgboost(train)
test_x, test_y = data_transform_for_xgboost(test)
train_y = sign(train_y)
test_y = sign(test_y)
indices = find_all_indices(train_y, 1)
indices.extend(find_all_indices(train_y, -1))
train_x = np.array(train_x)[indices]
train_y = np.array(train_y)[indices]

dtrain = xgb.DMatrix(train_x, train_y)

param = {
    'booster': 'gbtree',
    'silent': True,
    'eta': 0.01,
    'max_depth': 5,
    'gamma': 0.1,
    'objective': 'multi:softmax',
    'num_class': 3,
    'seed': 1000,
    'scale_pos_weight': 1
}

clf = xgb.XGBClassifier(**param)
if conf['use_previous_model'] is False:
    clf.fit(train_x, train_y)

View more ways to use xgboost

xgboost dependencies

numpy scipy

FAQs

What is xgboost?

XGBoost Python Package. Visit Snyk Advisor to see a full health score report for xgboost, including popularity, security, maintenance & community analysis.

Is xgboost popular?

The python package xgboost receives a total of 5,366,656 weekly downloads. As such, xgboost popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is xgboost well maintained?

We found indications that xgboost maintenance is sustainable demonstrating some project activity. We saw a total of 410 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is xgboost safe to use?

The python package xgboost was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 December-2024, at 03:06 (UTC).

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xgboost

XGBoost Python Package For more information about how to use this package see README

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XGBoost Python Package

Installation

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xgboost dependencies

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What is xgboost?

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