
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!

Atlas.co
Heimdall
Felt
EyeOnBlue
Wingbits AI
Climate Change Tracker
Envirosuite
See global climate and environmental data in one real-time platform.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | splitwise.com | app.myhu.world |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from South Africa · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Splitwise yet.
My!hū unifies fragmented climate and disaster data into one real-time, global platform. Unlike tools that are siloed or focus on one domain, it delivers clear, map-based insights across the world. By turning complex data into simple, actionable intelligence, My!hū helps anyone understand what’s...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Splitwise - iPhone App Review! [2020]
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Splitwise and Myhu.world.
Myhu.world's answer:
My!hū is built to make environmental intelligence accessible, actionable, and easy to explore. Its core features include:
Global Environmental Monitoring – Track real-time environmental events and changes across regions worldwide Regional Insight Panels – Deep-dive into specific countries or regions with detailed metrics, trends, and primary drivers Interactive Data Visualisation – Map-based and chart-driven views that make complex data easy to understand Data Aggregation & Normalisation – Combines multiple global data sources into a single, unified view Comparative Analysis – Compare regions to identify patterns, risks, and emerging trends Export & Reporting Tools – Generate and share insights in a clear, structured format Credit-Based Exploration System – Flexible usage model that allows users to explore data on demand
Myhu.world's answer:
My!hū stands out by turning complex, fragmented environmental data into a single, clear, and actionable experience. Instead of requiring users to navigate multiple tools, datasets, or technical platforms, My!hū brings everything together—combining real-time monitoring, regional insights, and intuitive visualisation in one place.
Where many competitors are either too technical, too narrow in scope, or focused on enterprise compliance, My!hū is designed to be both powerful and accessible. It enables users to quickly understand what’s happening in any region, why it’s happening, and how it compares globally—without needing specialised expertise.
In short, My!hū is chosen because it simplifies environmental intelligence, making it easier to explore, understand, and act on data that would otherwise be difficult to access and interpret.
Myhu.world's answer:
My!hū is designed for individuals and organisations that need to understand environmental data without the complexity of traditional tools. Its primary audience includes sustainability professionals, researchers, analysts, and decision-makers who rely on timely, accurate insights to inform their work.
It also appeals to a broader group of users—such as educators, students, and environmentally conscious individuals—who want accessible, easy-to-understand views of global environmental conditions.
At its core, My!hū serves anyone looking for a clear, unified, and actionable perspective on environmental data, whether for professional use, research, or personal awareness.
Myhu.world's answer:
Myhu started as a response to a practical gap: environmental and disaster data exists in abundance, but it is fragmented, technical, and often not usable by non-specialists or product builders.
The idea behind it was to consolidate multiple public data sources (climate signals, ecological indicators, disaster feeds, and related datasets) into a single, structured layer that can be queried and embedded into applications. Instead of forcing users to manually interpret raw datasets from agencies and APIs, Myhu abstracts that complexity into usable outputs.
The direction of the product has generally been shaped by three constraints:
Accessibility: making environmental intelligence understandable without domain expertise Actionability: turning raw data streams into something that can inform decisions or trigger workflows Integration-first design: enabling developers and organisations to plug it directly into apps, dashboards, or services rather than treating it as a standalone analytics tool
Over time, it evolved from a data aggregation concept into a SaaS platform aimed at powering climate and ecological awareness features inside other products, rather than only serving end-users directly.
The underlying motivation has remained consistent: reduce the friction between environmental data availability and actual usage in real-world systems.
Myhu.world's answer:
Myhu is best understood as a geo-data + real-time analytics platform, so its architecture typically combines:
React/Flutter (frontends) Node.js or Python (APIs + processing) PostGIS + time-series databases Cloud-based ingestion pipelines Mapping/GIS toolchains
Share your experience with using Splitwise and Myhu.world. 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....
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