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.
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
Based on our record, neptune.ai should be more popular than Enchant. It has been mentiond 23 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.
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 / 10 days ago
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 / 4 months ago
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 / 8 months ago
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
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
At Enchant (https://enchant.com): - We launched without billing. Early customers used the product for free until we eventually built out billing - We offer data imports from competitors. It's a semi-automated process - sometimes there's existing working code, sometimes it needs tweaking, sometimes it gets written as part of the process. Either way, it's a win if it helps someone make a purchase decision. - We... - Source: Hacker News / 8 months ago
We[0] use Ruby without Rails - Sinatra for the most part. I started the codebase over a decade ago now, and at the time Rails felt a little heavy (inline with your comments). That said, Rails does let you get started pretty quickly without needing much of anything else. Rails has more magic. If you prefer less magic, then Sinatra is the way. https://enchant.com. - Source: Hacker News / over 1 year ago
For our own SaaS[0], we provide a timed trial. But we regularly provide trial extensions because reality of business is that it takes time to get everybody on board and onboarded. Reading this post, I suspect '30 days of use' would result in less 'please extend the trial' emails and would mean less friction during the trial. However, there is a tradeoff: when somebody reaches out for a trial extension, it may be... - Source: Hacker News / almost 2 years ago
In the space we[1] operate, there's no shortage of competitors. Over the years, I've seen that those who can unlock marketing see a lot more success, even with a shittier product. As a developer-turned-founder, a lot of marketing feels sleazy. Was it always this way? So much link-bait, fluffy posts that are really big ads, shallow content just for SEO, upvoting-rings on platforms, etc. There's so few who seem to... - Source: Hacker News / over 2 years ago
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