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Bitdeli
Bitdeli

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5
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1
Iteratively
Iteratively

1
3
+ 1
0
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Bitdeli vs Iteratively: What are the differences?

Developers describe Bitdeli as "Build Your Own Analytics". 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. On the other hand, Iteratively is detailed as "The best way to track your product analytics". Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.

Bitdeli and Iteratively belong to "Custom Analytics" category of the tech stack.

Some of the features offered by Bitdeli are:

  • 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.

On the other hand, Iteratively provides the following key features:

  • Single source of truth for your product analytics events
  • Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..)
  • Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...)
- No public GitHub repository available -
- No public GitHub repository available -

What is Bitdeli?

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.

What is Iteratively?

Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.
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          What are some alternatives to Bitdeli and Iteratively?
          Keen
          Keen is a set of powerful APIs that allow you to collect, analyze, and visualize events from anything connected to the internet. Send all your data – any event, from any source, all the time, any time. Keen IO was specifically built to capture and store event data — those constant little interactions that happen all day, every day, in your apps. Event data can be anything, and Keen IO gives you the ability to grab as much of it as you want, then store it forever on our cloud database.
          Ahoy
          Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.
          Snowplow
          Every single event, from your website(s), mobile app(s), desktop applications and server-side systems, stored in your own data warehouse and available to action in real-time.
          Rakam
          You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.
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          Cyrus Stoller uses BitdeliBitdeli

          To keep track of who is visiting the repo, but Github recently started offering something similar with https://github.com/cyrusstoller/RevTilt/graphs/traffic.

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