FedTools | open source library for the extraction of Federal Reserve
kandi X-RAY | FedTools Summary
kandi X-RAY | FedTools Summary
FedTools is a Python library. FedTools has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FedTools build file is not available. You can install using 'pip install FedTools' or download it from GitHub, PyPI.
An open source Python library for the scraping of Federal Reserve data. By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.
An open source Python library for the scraping of Federal Reserve data. By default, all modules within FedTools use 10 threads to increase scraping speed. By default, the Output is a Pandas DataFrame, indexed by release date of the materials. Additional serialised storage methods are optional.
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Quality
Security
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FedTools has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of FedTools is current.
Quality
FedTools has 0 bugs and 0 code smells.
Security
FedTools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FedTools code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FedTools is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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FedTools releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
FedTools has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
It has 358 lines of code, 21 functions and 4 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed FedTools and discovered the below as its top functions. This is intended to give you an instant insight into FedTools implemented functionality, and help decide if they suit your requirements.
- Pickle the dataset
- Obtain daily links between year and year
- Retrieves the list of articles
- Extract Financial Reserve Minutes
- Pickle the model
- Returns a URLopen using the user agent
- Extract INDRA Statements
- Retrieve the multithreaded articles
- Add article to feed
- Find the date from a link
- Return a URLopen to the given url
- Extract the previous Beige Book
- Retrieve multiple articles
- Obtain the links between start_year and year
- Pickle data in a given directory
- Extract the Beige Book
- Add an article
- Return a URL for the given URL
- Adds an article
- Find the date from a string
- Extract FOMC Statements
- Obtain the links between a given year
Get all kandi verified functions for this library.
FedTools Key Features
No Key Features are available at this moment for FedTools.
FedTools Examples and Code Snippets
No Code Snippets are available at this moment for FedTools.
Community Discussions
No Community Discussions are available at this moment for FedTools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install FedTools
You can install using 'pip install FedTools' or download it from GitHub, PyPI.
You can use FedTools 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 FedTools 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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