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  5. Birst vs Flask JSONDash

Birst vs Flask JSONDash

OverviewComparisonAlternatives

Overview

Birst
Birst
Stacks4
Followers10
Votes0
Flask JSONDash
Flask JSONDash
Stacks16
Followers48
Votes3
GitHub Stars3.3K
Forks300

Flask JSONDash vs Birst: What are the differences?

What is Flask JSONDash? A flask app to make dashboards, easily. Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go.

What is Birst? The global leader in Cloud Business Intelligence (BI) & Analytics for the Enterprise. Automated, comprehensive and user-friendly business intelligence tools for company-wide collaboration on the data that matters most.

Flask JSONDash and Birst can be categorized as "Business Intelligence" tools.

Flask JSONDash is an open source tool with 2.92K GitHub stars and 253 GitHub forks. Here's a link to Flask JSONDash's open source repository on GitHub.

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CLI (Node.js)
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Detailed Comparison

Birst
Birst
Flask JSONDash
Flask JSONDash

Automated, comprehensive and user-friendly business intelligence tools for company-wide collaboration on the data that matters most.

Easily configurable, chart dashboards from any arbitrary API endpoint. JSON config only. Ready to go.

Adaptive User Experience; Automated Data Refinement; Create, Schedule, Alert, and Deliver Highly-Formatted Reports; Embedded Analytics; Enterprise Analytics; Infinite Connectivity Network; Mobile Optimization; Multi-Tenant Cloud Architecture.
-
Statistics
GitHub Stars
-
GitHub Stars
3.3K
GitHub Forks
-
GitHub Forks
300
Stacks
4
Stacks
16
Followers
10
Followers
48
Votes
0
Votes
3
Pros & Cons
No community feedback yet
Pros
  • 2
    Very flexible for ad-hoc sources
  • 1
    Simple
  • 0
    Righteous Dudes
Integrations
Stitch
Stitch
AtScale
AtScale
Amplitude
Amplitude
Vertica
Vertica
Trifacta
Trifacta
Vero
Vero
Dremio
Dremio
No integrations available

What are some alternatives to Birst, Flask JSONDash?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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