Software Alternatives, Accelerators & Startups

Qwilr VS neptune.ai

Compare Qwilr VS neptune.ai and see what are their differences

Qwilr logo Qwilr

Turn your quotes, proposals and presentations into interactive and mobile-friendly webpages that...

neptune.ai logo neptune.ai

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
  • Qwilr Landing page
    Landing page //
    2023-10-06

Our aim is to make it as easy as possible for businesses to create epic documents that they can use internally, with their clients and share online. Our templates are not only professional & interactive, but are created as an individual web page that allows for easy shareability & data measuring.

  • neptune.ai Landing page
    Landing page //
    2023-08-24

Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.

Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code

Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.

Qwilr

Website
qwilr.com
$ Details
-
Platforms
-
Release Date
2014 January
Startup details
Country
Australia
City
Redfern
Founder(s)
Dylan Baskind
Employees
10 - 19

neptune.ai

Website
neptune.ai
$ Details
freemium
Platforms
Python
Release Date
2018 April
Startup details
Country
Poland
State
Mazowieckie
City
Warsaw
Founder(s)
Piotr Niedzwiedz
Employees
10 - 19

Qwilr videos

Qwilr Review - Beginners to Expert Guide PREVIEW by Bizversity.com

More videos:

  • Demo - Qwilr Demo Video

neptune.ai videos

Machine Learning Experiment Management with Neptune.ai - How to start

Category Popularity

0-100% (relative to Qwilr and neptune.ai)
Document Automation
100 100%
0% 0
Data Science And Machine Learning
Electronic Signature
100 100%
0% 0
Data Science Notebooks
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 Qwilr and neptune.ai

Qwilr Reviews

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neptune.ai Reviews

  1. Easy to use, not overdone, good for model management and collab

    Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group

Social recommendations and mentions

Based on our record, neptune.ai seems to be a lot more popular than Qwilr. While we know about 23 links to neptune.ai, we've tracked only 2 mentions of Qwilr. 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.

Qwilr mentions (2)

  • Tell me about your product and I’ll tell you how to market it
    Can you tell me more about it? Is it any different from https://qwilr.com or pandadoc.com or is a direct competitor to those. Source: over 2 years ago
  • Software Recommendations for RFPs & Quotes?
    When we initially researched, we did them independently. For RFP software, we wanted something to help with tracking, analyzing, generating proposals, AI answer suggestion/knowledge base, assigning related tasks etc. Avnio & RFPIO made our shortlist. For Quote software, we wanted something shiny, to make closing faster and easier to understand. Qwilr and PandaDocs were rated pretty high. Source: over 3 years ago

neptune.ai mentions (23)

  • A step-by-step guide to building an MLOps pipeline
    Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 28 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 5 months ago
  • Show HN: A gallery of dev tool marketing examples
    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
  • How to structure/manage a machine learning experiment? (medical imaging)
    There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
  • How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
    Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing Qwilr and neptune.ai, you can also consider the following products

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Proposify - A simpler way to deliver winning proposals to clients.

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

GetAccept - GetAccept is a Sales tool for electronic signatures and sales document automation.

Weights & Biases - Developer tools for deep learning research