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
neptune.ai might be a bit more popular than Apigee. We know about 23 links to it since March 2021 and only 16 links to Apigee. 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.
Implement automated tools like Apigee or Kong to get detailed analytics and security insights for your APIs. - Source: dev.to / 4 months ago
Machine learning-powered abuse-detection dashboards are available in Advanced API Security, a feature of Apigee API management that enables customers to quickly detect API security misconfigurations, bad bots, and malicious activities. In addition, the models behind the dashboard are trained to detect business logic attacks by Google’s internal teams to help protect their public-facing APIs. Source: about 1 year ago
Gateway-level rate limiting is typically implemented in API gateways such as Kong, Google's Apigee, or Amazon API Gateway. - Source: dev.to / about 1 year ago
Are you considering using Apigee (Edge, on prem, X or hybrid) anytime soon as a middleware? Source: over 1 year ago
Apigee is a comprehensive platform for designing, building, and testing APIs. It includes a feature called "API mocking," which allows you to create a mock version of your API for testing and development purposes. In addition to the mock feature, Apigee also includes a wide range of tools for API development, including support for API design, documentation, testing, and deployment. - Source: dev.to / over 1 year ago
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 / 29 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 / 5 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 / 9 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
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