finance-dl | automatically downloading/scraping personal financial data

by jbms Python Version: 1.3.4 License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | finance-dl Summary

finance-dl is a Python library. finance-dl has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install finance-dl' or download it from GitHub, PyPI.

Python package for scraping personal financial data from financial institutions. [Build] This package may be useful on its own, but is specifically designed to be used with [beancount-import] Supported data sources ==.

Support

Quality

Security

License

Reuse

Support

finance-dl has a low active ecosystem.

It has 188 star(s) with 28 fork(s). There are 12 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 4 open issues and 13 have been closed. On average issues are closed in 241 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of finance-dl is 1.3.4

Quality

finance-dl has 0 bugs and 0 code smells.

Security

finance-dl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

finance-dl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

finance-dl is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

finance-dl releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

finance-dl saves you 1674 person hours of effort in developing the same functionality from scratch.

It has 4233 lines of code, 333 functions and 31 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed finance-dl and discovered the below as its top functions. This is intended to give you an instant insight into finance-dl implemented functionality, and help decide if they suit your requirements.

Run Mint
Get balances and prices
Run a scraper
Context manager to create a scraper
Downloads and saves balances
Get order ID from href
Retrieve invoice information
Return list of invoice URLs
Rename a file
Extract start and end date from data
Find the child with the given name
Find the username and password in any frame
Finds the username and password
Generate an interactive interactive workflow
Interact with scraper
Run a config module
Print a message to stdout
Finds the date fields of this element
Find all tables in headers
Finds the account link in any frame
Block until a new URL has changed
Find the download link
Finds the download page in the current context
Returns a list of the elements that match the text

Get all kandi verified functions for this library.

finance-dl Key Features

No Key Features are available at this moment for finance-dl.

finance-dl Examples and Code Snippets

No Code Snippets are available at this moment for finance-dl.

Community Discussions

No Community Discussions are available at this moment for finance-dl.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install finance-dl

You can install using 'pip install finance-dl' or download it from GitHub, PyPI.
You can use finance-dl 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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