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Package Health Score

54 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

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Popularity

Limited

GitHub Stars: ?
Forks: ?
Contributors: -

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package nadc-datahub, we found that it has been starred ? times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 11, 2025
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
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Unavailable commit data

Open Issues: ?
Open PR: ?
Last Release: 4 months ago
Last Commit: unknown

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

We found that nadc-datahub demonstrates a positive version release cadence with at least one new version released in the past 12 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 0
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: >=3.8

Age: 2 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 11
Maintainers: 0
Wheels: OS Independent

Readme

datahub

All data can be addressed using dataset, datatype and metadatas. A dataset is associated with a certain project, such as EP, Sitian. Datatype refers to the type of data, such as image, spectrum, light curve, etc. Different dataset may have different datatypes. Metadatas are the metadata of the data, such as the observation time, observation id, etc.

For example, the image observed by the EP WXT CMOS 13 with obsid 13600000582 can be addressed as:

{
    "dataset": "EP_TDIC",
    "datatype": "image",
    "metadatas": {
        "obsid": 13600000582,
        "instrument": "WXT"
        "CMOS": 13,
        "version": "v1"
    }
}

Example

First of all, install : pip install nadc-datahub All datasets are inherited from the base class DataSet, which defined the basic interface of all datasets. Includes:

authentication: auth(username="", password="",token="")
download: download(datatype, metadatas:Dict)
check authentication: authorized()

Here is an example of how to use the EP_TDIC dataset:

preparation

import : from nadc_datahub import EP_TDIC
set data download strategy: ep = EP_TDIC.get_entry("csdb")
authenticate: ep.auth("username", "password")
check for authentication: ep.authorized()
download data: ep.download("/tmp/img.fits","image", {"obsid": 13600000582})

Download data

Three levels of ep data can be downloaded:

CMOS Level： ep.get_obs_data(output, obs_id, cmos_id, version, data_level)
Source Level： ep.get_src_data(output, obs_id, cmos_id, version, src_idx_in_det)
File Level： ep.get_file(output, obs_id, cmos_id, version)

FAQs

What is nadc-datahub?

A Python package for accessing datasets from NADC DataHub. Visit Snyk Advisor to see a full health score report for nadc-datahub, including popularity, security, maintenance & community analysis.

Is nadc-datahub popular?

We’re still processing downloads data for the python package nadc-datahub. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is nadc-datahub safe to use?

The python package nadc-datahub 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 24 October-2025, at 19:51 (UTC).

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nadc-datahub

A Python package for accessing datasets from NADC DataHub For more information about how to use this package see README

Ensure you're using the healthiest python packages

Package Health Score

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Popularity

Direct Usage Popularity

Security

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Maintenance

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Community

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Package

Readme

datahub

Example

preparation

Download data

FAQs

What is nadc-datahub?

Is nadc-datahub popular?

Is nadc-datahub safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Readme

datahub

Example

preparation

Download data

FAQs

What is nadc-datahub?

Is nadc-datahub popular?

Is nadc-datahub safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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