ERPNext
Pandas
Our great sponsors
| ERPNext | Pandas | |
|---|---|---|
| 80 | 393 | |
| 16,932 | 41,923 | |
| 3.2% | 1.4% | |
| 10.0 | 10.0 | |
| about 24 hours ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ERPNext
- Akaunting is free, open-source online accounting software for small businesses
- ERPNext: Free and Open Source Enterprise Resource Planning
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Self hosted open source CRM for business purposes
ErpNext
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ERP Recommendations for Small Business
Check out https://erpnext.com!
- Alternative zu Word - Personalpan
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[Tool search] ERP for small graphic design company
I'd look into ERPNext: https://erpnext.com/
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Top 10 Open Source ERP / CRM
Unlike Odoo, ERPNext open-source ERP software includes all modules in a free version, making it a fully free ERP solution.
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An open-source alternative to QuickBooks
Check out this : https://github.com/frappe/books - free desktop account software.
https://github.com/frappe/erpnext - free if you host yourself or $10+ if they host it on their server. ERP Software
Both are free. And they are pretty decent.
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What is a good ERP/CRM base to use for a company to create a custom functionality-rich website but expect regular employees to know how to add content to the website?
If you want an ERP backend for things like logistics, inventory, etc. that's highly customizable but also has a consistent UI framework, ERPNext could be a good option. It's open source and relatively low-code.
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Recommendation for CRM
ERPNext
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
Odoo - Odoo. Open Source Apps To Grow Your Business.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
DOLIBARR ERP & CRM - Dolibarr ERP CRM is a modern software package to manage your company or foundation's activity (contacts, suppliers, invoices, orders, stocks, agenda, accounting, ...). it's an open source Web application (written in PHP) designed for businesses of any sizes, foundations and freelancers.
tensorflow - An Open Source Machine Learning Framework for Everyone
Tryton - Mirror of tryton
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Directus - The Modern Data Stack 🐰 — Directus is an instant REST+GraphQL API and intuitive no-code data collaboration app for any SQL database.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
React - The library for web and native user interfaces.
Keras - Deep Learning for humans
metasfresh - We do Open Source ERP - Fast, Flexible & Free Software to scale your Business.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration