sigdata | 量化投资数据处理demo
kandi X-RAY | sigdata Summary
kandi X-RAY | sigdata Summary
sigdata is a Python library. sigdata has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
量化投资数据处理demo
量化投资数据处理demo
Support
Quality
Security
License
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Support
sigdata has a low active ecosystem.
It has 1 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
sigdata has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sigdata is current.
Quality
sigdata has no bugs reported.
Security
sigdata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sigdata 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.
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sigdata 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.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sigdata
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sigdata
sigdata Key Features
No Key Features are available at this moment for sigdata.
sigdata Examples and Code Snippets
No Code Snippets are available at this moment for sigdata.
Community Discussions
No Community Discussions are available at this moment for sigdata.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sigdata
You can download it from GitHub.
You can use sigdata 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 sigdata 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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