Package Health Score

87 / 100

security
No known security issues
popularity
Influential project
maintenance
Healthy
community
Sustainable

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Popularity

Influential project

GitHub Stars: 631
Forks: 124
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package Rtree, we found that it has been starred 631 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 10, 2024
Direct Vulnerabilities: 0
C
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

We found a way for you to contribute to the project! Looks like Rtree is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 27
Open PR: 1
Last Release: 5 months ago
Last Commit: 1 day ago

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

We found that Rtree demonstrates a positive version release cadence with at least one new version released in the past 12 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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 40
Funding: No

With more than 10 contributors for the Rtree repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: >=3.8

Age: 18 years
Latest Release: 5 months ago
Dependencies: N/A
Versions: 27
Maintainers: 4
Wheels: Linux, macOS, Musllinux, Windows

Not sure how to use Rtree?

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

blackmad / zetashapes / testsite / app / blockr.py View on Github

continue
            elif hole.intersects(polygons[place_id]):
                polygons[place_id] = polygons[place_id].union(hole)
                changed = True
            if changed:
                break
        if not changed:
            unassigned.append(hole)
            retries += 1
    if len(unassigned) == len(holes):
        # give up
        break
    holes = unassigned
print >>sys.stderr, "%d retried, %d unassigned." % (retries, len(unassigned))

hoodIndex = Rtree()

print >>sys.stderr, "Buffering polygons."
for place_id, polygon in polygons.items():
    if type(polygon) is Polygon:
        polygon = Polygon(polygon.exterior.coords)
    else:
        bits = []
        for p in polygon.geoms:
            if type(p) is Polygon:
                bits.append(Polygon(p.exterior.coords))
        polygon = MultiPolygon(bits)
    polygons[place_id] = polygon.buffer(0)
    hoodIndex.insert(place_id, polygons[place_id].bounds)

print >>sys.stderr, "Retconning blocks to shapes."
cur.execute("""select geom, geoid10 FROM tabblock10 tb WHERE statefp10 = %s AND countyfp10 = %s AND blockce10 NOT LIKE '0%%'""", (statefp10, countyfp10))

View more ways to use Rtree

Rtree: Spatial indexing for Python

Build

Rtree is a ctypes Python wrapper of libspatialindex that provides a number of advanced spatial indexing features for the spatially curious Python user. These features include:

Nearest neighbor search
Intersection search
Multi-dimensional indexes
Clustered indexes (store Python pickles directly with index entries)
Bulk loading
Deletion
Disk serialization
Custom storage implementation (to implement spatial indexing in ZODB, for example)

Wheels are available for most major platforms, and rtree with bundled libspatialindex can be installed via pip:

pip install rtree

See changes for all versions.

FAQs

What is Rtree?

R-Tree spatial index for Python GIS. Visit Snyk Advisor to see a full health score report for Rtree, including popularity, security, maintenance & community analysis.

Is Rtree popular?

The python package Rtree receives a total of 513,307 weekly downloads. As such, Rtree popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is Rtree well maintained?

We found that Rtree demonstrated a healthy version release cadence and project activity. It has a community of 40 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is Rtree safe to use?

The python package Rtree 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 November-2024, at 05:58 (UTC).

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Rtree

R-Tree spatial index for Python GIS For more information about how to use this package see README

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Popularity

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Security

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Community

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Package

Not sure how to use Rtree?

Rtree: Spatial indexing for Python

FAQs

What is Rtree?

Is Rtree popular?

Is Rtree well maintained?

Is Rtree safe to use?

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use Rtree?

Rtree: Spatial indexing for Python

FAQs

What is Rtree?

Is Rtree popular?

Is Rtree well maintained?

Is Rtree safe to use?

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Source Code

Open Source

Container

Config

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