datacommons | Memorious scrapers for crawling various open data sources | Scraper library
kandi X-RAY | datacommons Summary
kandi X-RAY | datacommons Summary
datacommons is a Python library typically used in Automation, Scraper applications. datacommons has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A fleet of Memorious scrapers for crawling various open data sources.
A fleet of Memorious scrapers for crawling various open data sources.
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Quality
Security
License
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Support
datacommons has a low active ecosystem.
It has 13 star(s) with 3 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
datacommons has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of datacommons is current.
Quality
datacommons has no bugs reported.
Security
datacommons has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
datacommons does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
datacommons releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed datacommons and discovered the below as its top functions. This is intended to give you an instant insight into datacommons implemented functionality, and help decide if they suit your requirements.
- Parse purchase data
- Return a generator of values from a row
- Return an OrderedDict of rows
- Parse company data
- Extract a feature
- Parse the PARTies field
- Parse the COMMODITIES record
- Convert the attribute data to a dictionary
- Index the state
- Convert row to dictionary
- Get rows from response
- Convert features to layer
- Splits a geonvelope environment into two dimensions
- Load features
- Perform a search operation
- Emit a PDF document
- Emit a PDF result
- Get all posts
- Emit an attachment
- Gets all documents
- Get the filename from the given row
- Store data
- Extract address information from root
- Perform a short form
- List all principals
Get all kandi verified functions for this library.
datacommons Key Features
No Key Features are available at this moment for datacommons.
datacommons Examples and Code Snippets
No Code Snippets are available at this moment for datacommons.
Community Discussions
Trending Discussions on datacommons
QUESTION
Play 2.4.x / java.lang.RuntimeException: Conflicting cross-version suffixes
Asked 2017-Feb-15 at 22:34
Running my sbt build, I get the following unresolved dependencies.
This is what happens when I run sbt update or sbt eclipse:
...ANSWER
Answered 2017-Feb-14 at 11:18Since you're using Scala 2.11, you need to use appropriate dependency, not 2.10. This change should help you.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install datacommons
You can download it from GitHub.
You can use datacommons like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use datacommons like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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