Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.
Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics.
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Which is more popular?
Based on our record, Deepnote
should be more popular than Heap.
It has been mentioned 34 times since March 2021.
social mentions
11 vs 34
Analytics popularity
100% vs 0%
alternatives listed
240+ vs 111
Base details
Website, pricing, platforms and company facts side by side.
Automatic Event Tracking Heap captures all user interactions automatically without requiring manual event setup, making it easier to get started and ensuring comprehensive data collection.
User-friendly Interface Heap provides a clean and intuitive interface, which allows non-technical users to easily create and analyze custom reports and dashboards.
Retroactive Analysis With Heap, users can define events at any time and view historical data, enabling analysis of past behaviors without prior configuration.
Comprehensive Data Heap collects a wide array of data points including clicks, form submissions, page views, and more, offering a holistic view of user interactions.
Integrations Heap offers robust integration capabilities with other analytics platforms, CRM systems, and data warehouses, facilitating seamless data flow between tools.
Possible disadvantages
Cost Heap can be expensive for smaller businesses or startups, particularly as the volume of tracked events and the number of users increases.
Learning Curve Despite its user-friendly interface, some users report a steep learning curve when it comes to leveraging Heap's more advanced features and capabilities.
Limited Customization While Heap provides a lot of data out-of-the-box, some users may find the customization options for tracking and reporting somewhat limited compared to other tools that offer more flexibility.
Data Redundancy The automatic tracking feature, while comprehensive, can sometimes lead to data redundancy or capturing irrelevant events, which may require additional data cleaning.
Reporting Complexity Some users have expressed that creating complex reports and funnels can be challenging and may require a deeper understanding of the platform's capabilities.
Collaborative Features Deepnote allows for real-time collaboration, similar to Google Docs, where multiple users can work on the same notebook simultaneously without conflicts.
Integration with Popular Tools Deepnote integrates seamlessly with popular data sources and tools such as Google Drive, GitHub, and SQL databases, enhancing its versatility for data science projects.
User-Friendly Interface The interface is clean and easy to navigate, making it accessible for both beginners and experienced data scientists.
Cloud-Based Being a cloud-based solution, Deepnote eliminates the need for local setup and maintenance, allowing users to access their projects from anywhere with internet access.
Data Security Deepnote provides robust security features, ensuring that your data and notebooks are protected against unauthorized access.
Integrated Version Control Version control within Deepnote allows users to track changes, revert to previous versions, and collaborate more effectively on shared projects.
Possible disadvantages
Limited Offline Access As a cloud-based platform, Deepnote requires an internet connection for most of its functionality, which can be a limitation for users needing offline access.
Performance Constraints Heavy computational tasks might be limited by the performance capabilities of the cloud resources provided, affecting users who require extensive computational power.
Subscription Costs While there is a free tier, advanced features and increased resource limits come at a subscription cost, which might be a consideration for students or hobbyists.
Learning Curve for Advanced Features While basic functionality is user-friendly, mastering the more advanced features and integrations may require a learning curve, especially for users new to data science tools.
Dependency on External Infrastructure The performance and availability of Deepnote can be affected by issues with their cloud service providers, which adds a layer of dependency on external infrastructure.
Analysis
An editorial look at what each product does well and who it suits.
HeapDeepnote
Overall verdict
Heap is a robust analytics solution that is well-suited for businesses looking for an easy-to-implement tool that delivers detailed insights without requiring significant technical expertise. While it might be overkill for very small businesses or startups with minimal data analysis needs, its capabilities stand out for medium to large enterprises that want a more profound understanding of user interactions.
Why this product is good
Heap is generally considered a good analytics tool because it offers comprehensive and automatic data capturing, which helps businesses understand user behavior without needing extensive tracking plans. Users appreciate its ease of use, modern interface, and powerful analysis capabilities that allow non-technical users to generate insights quickly. Heap provides features like retroactive analytics and detailed funnel analysis, which can be incredibly valuable for improving user experience and increasing conversion rates.
Recommended for
Heap is recommended for medium to large companies, product managers, marketing teams, and data analysts who need a platform that offers detailed, user-level insights and robust analytics features without the complexity of setting up extensive tracking code. It is also well-suited for teams that want to make data-driven decisions quickly and efficiently.
Overall verdict
Deepnote is an excellent tool for data scientists, particularly those who value collaboration and need interactive, shareable notebooks. Its user-friendly interface and powerful integration capabilities make it a strong contender in the data science notebook space.
Why this product is good
Deepnote is a collaborative data science notebook designed to enhance productivity and simplify the data science workflow. It offers real-time collaboration, similar to Google Docs, making it easier for teams to work together efficiently. It supports various programming languages and integrates seamlessly with popular tools such as Jupyter notebooks, Git, and cloud storage services. Deepnote also provides a strong focus on data visualization and interactive dashboards, making it easier to interpret and present data insights.
Recommended for
Data scientists who work in teams and need a collaborative environment.
Professionals who require seamless integration with existing tools and cloud storage.
Users who prioritize interactive data visualization and interpretability.
Educators looking for an accessible platform to teach data science concepts.
Heap is a web and mobile data analytics platform that captures every user interaction via secure session recording. Use it to get insights into customer behavior and to streamline your digital experiences. ⏩
On the other hand, Mixpanel requires you to manually define the events you want to track from the start. While this might take some extra time, it provides more detailed reports right off the bat, which makes the...
Heap is a robust product analytics platform that provides users with a plethora of in-depth insights into customer behavior and needs. With Heap, you can track user interactions in real time across all touch points...
Deepnote is a cloud-based data science notebook platform comparable to Jupyter Notebooks but with a focus on real-time collaboration and editing. It lets users write and run code in several programming languages, as...
Deepnote is a real-time collaborative notebook. It offers features like real-time collaboration, version control, and smart autocomplete. It also provides direct integrations with popular data sources like GitHub,...
Deepnote is a cloud-based, data science notebook platform that is similar to Jupyter Notebooks, but with a focus on collaboration and real-time editing. It allows users to write and execute code in a variety of...
Heap.io — Automatically captures every user action in iOS or web apps. Free for up to 5,000 visits/month.
- Source: dev.to
/
almost 4 years ago
Question about testID in prod vs dev builds
Check out Heap for React Native - https://heap.io.
Source:
about 4 years ago
All 2200+ companies in my db have a dedicated page now.
How heavily does the site depend on heap.io for its core functionality? Like, say Heap went under completely out of the blue (god forbid) and you had to switch to Google analytics, how much tech debt are you in?
Source:
over 4 years ago
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this...
- Source: Hacker News
/
over 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors.
- Source: dev.to
/
almost 3 years ago
Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.
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