data_integration_celery | Regularly perform more relevant tasks

by DataIntegrationAlliance Python Version: Current License: GPL-3.0

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

kandi X-RAY | data_integration_celery Summary

data_integration_celery is a Python library. data_integration_celery has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However data_integration_celery has 11 bugs. You can download it from GitHub.

Regularly perform more relevant tasks through celery, integrate, clean, and unify the data of data terminals such as Wind, Flush ifind, Oriental Fortune choice, Tushrae, JQDataSDK, pytdx, and CMC for data analysis in other systems

Support

Quality

Security

License

Reuse

Support

data_integration_celery has a low active ecosystem.

It has 264 star(s) with 122 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 326 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of data_integration_celery is current.

Quality

data_integration_celery has 11 bugs (1 blocker, 1 critical, 1 major, 8 minor) and 637 code smells.

Security

data_integration_celery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

data_integration_celery code analysis shows 0 unresolved vulnerabilities.

There are 67 security hotspots that need review.

License

data_integration_celery is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

data_integration_celery 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.

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

data_integration_celery saves you 10503 person hours of effort in developing the same functionality from scratch.

It has 21338 lines of code, 497 functions and 164 files.

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

Top functions reviewed by kandi - BETA

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

Import Tusharefin indicator
Insert sqlite into a mysql table
Add primary keys to table
Performs a bunch insert operation
Import Tushare stock balancesheet
Add the primary keys to the sqlite database
Invokes the balancesheet
Import latest FinancialFin
Build the primary key
Import wind_fund_fund_fund_daily
Import wind_code_kv
Import wind stock daily hk
Import pubfund fund info
Imports the wind cb_daily_daily_day
Imports futures for future daily
Update privatefund nav section
Merge index daily
Import stock_hk_finish_hk_hkk_fin index
Import allcoin pair info
Import jq_domains_day
Import tusharethold fixtures
Import tushare_daily_day
Build wind commodity info
Imports wind smfund daily
Import stock code
Import private fund nav file

Get all kandi verified functions for this library.

data_integration_celery Key Features

No Key Features are available at this moment for data_integration_celery.

data_integration_celery Examples and Code Snippets

No Code Snippets are available at this moment for data_integration_celery.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install data_integration_celery

You can download it from GitHub.
You can use data_integration_celery 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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