Software Alternatives, Accelerators & Startups

Canny.io VS Deepnote

Compare Canny.io VS Deepnote and see what are their differences

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Canny.io logo Canny.io

Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • Canny.io Landing page
    Landing page //
    2023-09-14
  • Deepnote Landing page
    Landing page //
    2023-10-09

Canny.io features and specs

  • User Feedback Management
    Canny offers a centralized platform for collecting, organizing, and prioritizing customer feedback. This streamlines the process of understanding user needs and determining what features to build next.
  • Roadmap Transparency
    Canny allows companies to share their product roadmaps with their users, increasing transparency and trust. Users can see what features are planned, in progress, or completed.
  • Engagement
    By allowing users to vote on features and suggestions, Canny increases user engagement and makes them feel involved in the product development process.
  • Integrations
    Canny integrates with various popular tools like Intercom, Slack, and GitHub, enabling seamless workflows and better team collaboration.
  • Analytics
    Canny provides analytics and reporting tools to help teams understand trends in user feedback and make data-driven decisions.
  • Seamless Integration
    The integration between Canny and Intercom is seamless, allowing for easy setup and interaction. It enables teams to use both tools without having to constantly switch contexts.
  • Improved Product Development
    By gathering insights directly from users, product teams can make informed decisions, leading to improved product features and functionality that closely align with user needs.
  • Customer Engagement
    Engaging with customers becomes more streamlined, as Canny provides a platform within Intercom for users to submit their ideas and see progress, thereby increasing transparency and trust.
  • Centralized Feedback System
    Canny consolidates feedback from various channels into a single location, making it easier to track, analyze, and act upon without switching between different platforms.
  • User Engagement
    Canny Changelog allows companies to keep their users engaged by providing continuous updates on product features and improvements, making users feel involved in the development process.
  • Streamlined Communication
    This tool centralizes communication about product updates, ensuring that users and stakeholders receive consistent and clear information through one platform.
  • Feedback Loop
    Integrating changelogs with feedback features allows developers to capture user reactions to new updates, thereby creating a beneficial feedback loop for future development.
  • Customization
    Canny Changelog offers customization options, enabling businesses to tailor the appearance and content to fit their branding and specific audience needs.
  • Easy Integration
    The product changelog can be easily integrated into existing workflows and platforms, making it a seamless addition to a company's software ecosystem.

Possible disadvantages of Canny.io

  • Cost
    Canny is a paid service and the cost can be a barrier for small startups or companies with limited budgets.
  • Ramp-up Time
    New users and teams might require some time to fully understand and utilize all the features that Canny offers, which could involve a learning curve.
  • Limited Customization
    Some users may find the platform's customization options somewhat limited, which could be a constraint for companies with very specific needs or workflows.
  • Dependency on User Participation
    The effectiveness of Canny heavily relies on user participation. If users are not actively providing feedback or voting, the tool's utility can diminish.
  • Feature Scope
    Canny's focus is on feedback management and roadmapping, but it doesnโ€™t cover other aspects of product management like task tracking or sprint planning, which might necessitate additional tools.
  • Learning Curve
    New users might encounter a learning curve when familiarizing themselves with Canny and its integration with Intercom, which may take some time to get used to efficiently.
  • Potential Overlap
    For companies already using other feedback management systems, Canny could create overlap, leading to confusion and potential data redundancy.
  • Cost Considerations
    Depending on the pricing structure of both Canny and Intercom, the integration may lead to higher costs, which could be a consideration for smaller businesses or startups.
  • Dependency on Intercom
    Companies that are looking to switch away from Intercom might find themselves tied to the platform due to the deep integration with Canny, potentially limiting flexibility in choosing communication tools.
  • Cost Implications
    Depending on the pricing structure, the use of Canny Changelog might lead to additional costs for a company, which could be a factor for smaller businesses or startups.
  • Overhead for Management
    Managing and regularly updating the changelog can introduce extra overhead for product teams, who must ensure timely and accurate entries.
  • Dependency on External Tool
    Relying on an external tool for changelogs may pose a risk if there are service disruptions or if the tool's features change in ways that don't align with business needs.

Deepnote features and specs

  • 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 of Deepnote

  • 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 of Canny.io

Overall verdict

  • Canny.io is a solid choice for teams looking to streamline their product feedback process and ensure they are focusing on the features that matter most to their users. It is well-regarded for its ease of use, integration capabilities, and ability to provide actionable insights from customer feedback.

Why this product is good

  • Canny.io is generally considered a good tool because it facilitates customer feedback, helps prioritize product features, and enhances communication between product teams and users. It offers features like voting on suggestions, a changelog to communicate updates, and a roadmap to provide transparency, making it especially useful for software development and product management teams.

Recommended for

    Product managers, software development teams, startups, and companies that want to engage their user base in the feedback process and prioritize feature development based on real customer input.

Analysis of Deepnote

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.

Canny.io videos

How to Collect Customer Feedback Using Canny.io

More videos:

Deepnote videos

Could this be the Best Data Science Notebook? (Deepnote)

Category Popularity

0-100% (relative to Canny.io and Deepnote)
Customer Feedback
100 100%
0% 0
Data Science And Machine Learning
User Feedback
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Canny.io and Deepnote

Canny.io Reviews

10 Best Canny Alternatives and Competitors in 2025
UserVoice is a Canny.io alternative that dives deeper into customer feedback. While Canny offers feedback based on upvoting, UserVoice goes further by collecting feedback from multiple avenues including email, questionnaires, chat, and automated feedback forms. Use this tool to leverage user feedback and build more innovative products. โš’๏ธ
Source: clickup.com
Top 10 FeatureBase alternatives you should evaluate in 2024
Canny stands out as a popular solution for enterprise-level clients seeking robust product roadmap and feature request capabilities. Beyond its core functionalities, Canny (opens in new tab) has an enhanced user interface and seamless user experience, suitable mainly for large-scale businesses. Canny is a b2b customer feedback tool that lets you track which customers want...
Source: featureos.app
17 Best Canny Alternatives in 2024
If you're a founder, product manager, or part of a product team evaluating tools to manage customer feedback and feature requests, you've likely come across Canny. But before settling on Canny, it's worth exploring some of the top Canny alternatives available in 2024.
Source: supahub.com
18 Best Idea Management Software to Facilitate Innovation 2023
Canny is an AI tool that helps teams capture, organize, and analyze product feedback so they can better understand what their customers want to see. Canny allows you to add relevant company data from other work tools, categorize feedback based on use cases, and filter the requests you see rolling in so no customer request goes untouched.
Source: clickup.com
30+ Customer Feedback Tools comparison
The coverage rate metric measures the percentage of users that have provided you with feedback. UserVoice reports that at least 15% coverage rate is considered satisfactory with typical rate ranging up to 50%. While Canny customers see a typical rate of 5%.
Source: clearflask.com

Deepnote Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
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 well as include text, equations, and visualizations in a single document.
Source: lakefs.io
7 best Colab alternatives in 2023
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, Google Drive, and BigQuery. Its modern, intuitive interface makes it a compelling choice for both beginners and experienced data scientists.
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] โ€“ Features, pros & cons, pricing
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 programming languages, as well as include text, equations, and visualizations in a single document. Deepnote also has a built-in code editor and supports a wide range...
Source: noteable.io
The Best ML Notebooks And Infrastructure Tools For Data Scientists
A Jupyter-notebook enabled platform, Deepnote boasts of many advanced features. Deepnote supports real-time collaboration to discuss and debug the code. The platform will soon have functions such as versioning, code review, and reproducibility. Deepnote has intelligent features to quickly browse the code, find patterns in your data, and autocomplete code. It can integrate...

Social recommendations and mentions

Canny.io might be a bit more popular than Deepnote. We know about 42 links to it since March 2021 and only 34 links to Deepnote. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Canny.io mentions (42)

  • Show HN: I Built a Customer Feedback Tool
    What's the difference between this and like https://canny.io/ ? - Source: Hacker News / over 1 year ago
  • Affordable product management tool to track OKR and product roadmaps
    This is a slightly different feature set, but being more customer feedback centric rather than OKR centric might be worth considering: https://canny.io/. Source: over 2 years ago
  • Feedback SaaS platform dedicated to Flutter - rate my idea
    Solutions like canny.io makes >$2M in ARR. My aim is to create product combining some features from canny and wiredash. Source: over 2 years ago
  • Feedback SaaS platform dedicated to Flutter - rate my idea
    Researched the market and found https://wiredash.io/ - which is great tool, but it costs so much. 99 usd monhtly is.... 5 hours of work in Poland, where I live. Also I want to share project roadmap with my users inside it. Something like https://canny.io/ integrated into app. Source: over 2 years ago
  • Ask HN: Who is hiring? (November 2023)
    Canny | Software Engineer | REMOTE | Full-time | https://canny.io Canny helps software companies keep track of feature requests to build better products. * Early-stage startup, 17 person team, $3m+ annual recurring revenue * 100% remote, distributed across US, Canada, Spain, Turkey * Bootstrapped and profitable https://careers.canny.io/?utm_source=hn Why work at Canny: https://canny.io/blog/work-at-canny/. - Source: Hacker News / over 2 years ago
View more

Deepnote mentions (34)

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What are some alternatives?

When comparing Canny.io and Deepnote, you can also consider the following products

Upvoty - User feedback in 1 simple overview ๐Ÿ”ฅ

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

UserVoice - UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.

Saturn Cloud - 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.

Featurebase - The all-in-one toolkit for managing your customer feedback.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.