
Tricount
Settle Up
Splid
Spliit
YNAB
ihatemoney
Splitser
Splitwise is a free tool for friends and roommates to track bills and other shared expenses, so that everyone gets paid back. On the web, iPhone, and Android!

Prefect.io
Kestra.io
Luigi
Apache NiFi
Stacksync
Get Bruin
Renart
The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Which is more popular?
Based on our record, Dagster seems to be more popular. It has been mentioned 8 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | splitwise.com | dagster.io |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Dagster yet.
Walkthroughs and reviews on video.
Splitwise - iPhone App Review! [2020]
More videos
Airflow Vs. Dagster: The Full Breakdown!
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Splitwise and Dagster. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Splitwise is among the most commonly used group payment apps that can easily keep a systematic record of all your informal debts including restaurant bills, travel expenses, cost of accommodation, and much more. With...
Splitwise employs an intelligent algorithm to calculate the exact amount owed by each user. It shows who paid for what, how much amount was paid by each member, and any outstanding balances. Furthermore, the...
For example, shared items like appetizers would be split among the entire group or just a few people in the group. The app can handily accommodate large parties by allowing you to add up to 10 people to each group....
Dagster is an open-source data orchestration system that allows users to define their data assets as Python functions. Once defined, Dagster manages and executes these functions based on a user-defined schedule or in...
Unlike Airflow, which supports any production environment, Dagster concentrates on cloud services and supports modern data stacks. Being cloud-native and container-native, this solution makes the scheduling and...
Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Splitwise since Mar 2021.
Dagster documentation and project: https://dagster.io/. - Source: dev.to / about 2 months ago
If you run Dagster pipelines in production, you've probably wanted distributed tracing at some point — seeing exactly how long each op/asset took, how steps nest across a run, and how a run connects to whatever triggered it (a sensor... - Source: dev.to / about 2 months ago
At my organization, which collects large volumes of public web data, we’ve developed a robust system for automated data quality checks using two powerful open-source tools: Dagster and Great Expectations. These tools are the cornerstone... - Source: dev.to / about 1 year ago
When comparing Splitwise and Dagster, you can also consider the following products.


Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.
Compare Prefect.io to Splitwise or Dagster:

SETTLE UP is an indispensable app for friends and flatmates who need to keep track of shared bills...
Compare Settle Up to Splitwise or Dagster:

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
Compare Kestra.io to Splitwise or Dagster:


Luigi is a Python module that helps you build complex pipelines of batch jobs.
Compare Luigi to Splitwise or Dagster: