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  5. Bitdeli vs Flask JSONDash vs Superset

Bitdeli vs Flask JSONDash vs Superset

OverviewComparisonAlternatives

Overview

Bitdeli
Bitdeli
Stacks160
Followers17
Votes1
Superset
Superset
Stacks420
Followers1.0K
Votes45
Flask JSONDash
Flask JSONDash
Stacks16
Followers48
Votes3
GitHub Stars3.3K
Forks300

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Detailed Comparison

Bitdeli
Bitdeli
Superset
Superset
Flask JSONDash
Flask JSONDash

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

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.

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

Bitdeli organizes analytics as cards. A card can show where your business is going or what your users are doing - anything based on your data. A card can work as a dashboard or a live report.;Bitdeli can fetch data from your existing analytics provider and other 3rd party services, so you don't need to change anything to get started with Bitdeli.;You can also send data directly to Bitdeli to benefit from real-time analytics.
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
-
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
3.3K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
300
Stacks
160
Stacks
420
Stacks
16
Followers
17
Followers
1.0K
Followers
48
Votes
1
Votes
45
Votes
3
Pros & Cons
Pros
  • 1
    Analytics on my GitHub repos
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Shareable & editable dashboards
  • 6
    Wide SQL database support
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
Pros
  • 2
    Very flexible for ad-hoc sources
  • 1
    Simple
  • 0
    Righteous Dudes
Integrations
Segment
Segment
No integrations availableNo integrations available

What are some alternatives to Bitdeli, Superset, 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.

Keen

Keen

Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

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.

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