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ONLYOFFICE
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PyQtGraph
Fast data visualization and GUI tools for scientific / engineering applications
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Apache Superset
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
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Nest
A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications on top of TypeScript & JavaScript (ES6, ES7, ES8) 🚀
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Strapi
🚀 Strapi is the leading open-source headless CMS. It’s 100% JavaScript, fully customizable and developer-first.
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Typesense
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
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airbyte
Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.
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prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
plotly reviews and mentions
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
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FiftyOne Computer Vision Model Evaluation Tips and Tricks – Feb 03, 2023
Because the confusion matrix is implemented in plotly, it is interactive! To interact visually with your data via the confusion matrix, attach the plot to a session launched with the dataset:
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Create interactive plots with Python and Plotly
I've created a notebook in this Github repo to demo some of Plotly basic capabilities and I highly recommend checking out the official documentations for examples of each plot type and to discover lots of cool stuff that you can put in your notebook/site 🙂.
- GUI for a Dynamically Created Dataframe
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Инструменты Python. Библиотеки для анализа данных
- plotly (https://plotly.com/python/);
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I spent over 100 hours creating this website showing off NL's YouTube stats
Sure! One of the big ones that really powers the whole web application is Python Dash. This framework lets you build an entire web application in pure python, similar to something like Flask or Django, but its geared more towards data science applications. You get to use all of the Plotly charts in a streamlined way. 🙌 Dash actually uses React under the hood to render the web page, and there's a lot of useful 3rd party libraries with ready-to-use web components.
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I made an interactive data viz cookbook with PyScript. It includes over 35 recipes to plot with pandas, matplotlib, seaborn, and plotly.express
They have a lot of detailed examples on https://plotly.com/python/
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A note from our sponsor - InfluxDB
www.influxdata.com | 1 Jun 2023
Stats
plotly/plotly.py is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of plotly is Python.