Software Alternatives, Accelerators & Startups

FORM.com VS Deepnote

Compare FORM.com VS Deepnote and see what are their differences

FORM.com logo FORM.com

FORM.com is an enterprise mobile forms software and solutions perfect for optimizing online and offline inspection, audit, compliance operations and more.

Deepnote logo Deepnote

A collaboration platform for data scientists
  • FORM.com Landing page
    Landing page //
    2023-09-01
  • Deepnote Landing page
    Landing page //
    2023-10-09

FORM.com videos

Form.com Platform Overview

Deepnote videos

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

Category Popularity

0-100% (relative to FORM.com and Deepnote)
Form Builder
100 100%
0% 0
Data Science And Machine Learning
Surveys
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

Share your experience with using FORM.com and Deepnote. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

FORM.com Reviews

  1. The software have been great. By far has the most customizable features of all its competitors

    We spent a long time looking for a product that could capture data online and offline, add logic and validation to the forms, empower our team to build their own questionnaires and also allow us to host the system in our own data center. We finally found form.com and the implementation was straight forwards and ongoing support has met our requirements as our userbase has grown.

    👍 Pros:    Great set of functions|Third party service integration

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] – 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

Based on our record, Deepnote seems to be more popular. It has been mentiond 32 times since March 2021. 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.

FORM.com mentions (0)

We have not tracked any mentions of FORM.com yet. Tracking of FORM.com recommendations started around Mar 2021.

Deepnote mentions (32)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    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 / 3 months ago
  • JupyterLab 4.0
    We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / 11 months ago
  • Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
    Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
  • Quick tip: Using a SingleStoreDB Recursive CTE with London Underground data
    Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
  • free-for.dev
    Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing FORM.com and Deepnote, you can also consider the following products

ReachOut - ReachOut is a field service management suite to streamline field processes with customizable mobile-based forms and workflow.

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

DeltaSalesApp - Field Sales Force Automation & Field Force Tracking Software

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

Smart Service - Smart Service's QuickBooks integration makes it the ultimate scheduling and dispatch software for HVAC, plumbing, pest control, and other service industries.

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.