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Top 23 Python Excel Projects
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xlwings
xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pytablewriter
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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django-data-wizard
🧙⚙️ Import structured data (e.g. Excel, CSV, XML, JSON) into one or more Django models via an interactive web-based wizard
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dbd
dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
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pycel
A library for compiling excel spreadsheets to python code & visualizing them as a graph (by stephenrauch)
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gia-api
:mag_right: UI и парсер таблиц Excel с сайта РЦОИ г. Москвы со списками работников пунктов проведения экзаменов (ППЭ) ГИА, ОГЭ, ЕГЭ.
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Project mention: Python in Excel: Combining the Power of Python and the Flexibility of Excel | news.ycombinator.com | 2023-08-23Reading the headline, I initially thought that Microsoft bought the company behind XLWings [1], which also enables you to use Excel directly within Excel, even locally. Not affiliated in any kind to that company, just used it in the past.
[1] https://www.xlwings.org/
You could try and write some simple python using the pyexcel and pandas libraries. I created a tool as a consultant with these packages that parsed spreadsheets with data from factories from all around the world. They did not lock down the Excel files used to submit data and it made it so much harder. If you go this route, I would recommend starting by putting your data into a SQLite database. Once you have your data in a database, you unlock the power of SQL for pulling reports. Also, you can port the data into a proper database if you ever need to. ChatGPT can probably get you a good chunk of the way there.
ExcelToDatabase - Automation tool for batch importing Excel files into MySQL/Oracle/SQL Server/PostgreSQL/Access/Hive/SQLite/Dameng database
Python Excel related posts
- Merging data from multiple Excel files
- Tool to see mutual followers of several Instagram pages?
- Advice on ETL and Data Sharing work process
- Python in Excel: Combining the Power of Python and the Flexibility of Excel
- Python for Excel: A Modern Environment for Automation and Data Analysis
- Excelize
- Running python from excel
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Index
What are some of the best open-source Excel projects in Python? This list will help you:
Project | Stars | |
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1 | xlwings | 2,834 |
2 | python-o365 | 1,555 |
3 | pyexcel | 1,173 |
4 | rows | 860 |
5 | pytablewriter | 593 |
6 | git-xl | 536 |
7 | sterraxcyl | 484 |
8 | ScareCrow-CobaltStrike | 447 |
9 | django-data-wizard | 330 |
10 | pylightxl | 285 |
11 | sheet2dict | 218 |
12 | openvasreporting | 114 |
13 | Robinhood-1099-Parser | 64 |
14 | dbd | 55 |
15 | ExcelToDatabase | 46 |
16 | essstat | 45 |
17 | pycel | 27 |
18 | pentest2xlsx | 27 |
19 | django-import | 13 |
20 | RC522-Attendance | 12 |
21 | gia-api | 11 |
22 | PapersCited | 10 |
23 | plotrock | 10 |
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