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Datapane VS Visualr

Compare Datapane VS Visualr and see what are their differences

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Datapane logo Datapane

Datapane is an API-first platform for building reporting and BI tools using Python.

Visualr logo Visualr

Visualr is a data visualization and analytics platform that provides enterprises with extensively flexible connectivity in terms of multiple data sources.
  • Datapane Landing page
    Landing page //
    2023-09-10
  • Visualr Landing page
    Landing page //
    2021-09-27

Datapane videos

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Datapane Quick Overview

Visualr videos

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Category Popularity

0-100% (relative to Datapane and Visualr)

Datapane

Visualr

Business Intelligence
73 73%
Business Intelligence
27% 27
Data Dashboard
67 67%
Data Dashboard
33% 33
Data Visualization
63 63%
Data Visualization
37% 37
Productivity
100 100%
Productivity
0% 0

User comments

Share your experience with using Datapane and Visualr. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Datapane seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Datapane mentions (8)

  • How do you guys share R/Python based analyses to business stakeholders?
    PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: over 1 year ago
  • how do i convince data scientists to actually use my power bi dashboards?
    If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: almost 2 years ago
  • Ask HN: Who is hiring? (April 2022)
    Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (January 2022)
    Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 2 years ago
  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / over 2 years ago
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Visualr mentions (0)

We have not tracked any mentions of Visualr yet. Tracking of Visualr recommendations started around Mar 2021.

What are some alternatives?

When comparing Datapane and Visualr, you can also consider the following products

ActionDesk - Build powerful automations with just your spreadsheet skills

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.

Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.

NextReports - It has a designer, a server and a simple api engine.

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

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