Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
Nango
Composio.dev
Hasura
Polytomic
Peaka
Supabase
n8n.io
apideck
Scikit-learn
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Based on our record, Scikit-learn should be more popular than Nango. It has been mentiond 40 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.
Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 1 month ago
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 2 months ago
In practice, youโll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 4 months ago
Nango is the integration platform where coding agents build integrations. Engineers, or coding agents like Claude Code, Cursor, and Codex, write integrations as code in your repo, and Nangoโs cloud runtime runs them securely and at scale. - Source: dev.to / about 1 month ago
You will need a Nango account (the free tier is enough for development). Then register your own HubSpot OAuth app with the crm.objects.contacts.read scope, set the OAuth callback URL to https://api.nango.dev/oauth/callback, and configure HubSpot as an integration in the Nango dashboard. - Source: dev.to / about 2 months ago
Nango is the only platform in this comparison that treats all three loops as first-class, and the only one where the same code an agent builds today runs unmodified in a hardened tenant-isolated runtime tomorrow. - Source: dev.to / 2 months ago
Nango | Full-time | Remote (North America, LATAM, Europe) | https://nango.dev Nango (YC W23) is a developer infrastructure company and the leading provider of API access for agents and apps. It enables AI applications to connect to the real world through integrations. More than 250 paying customers rely on Nango today, including Replit, Mercor, and Exa. We are a YC-backed,... - Source: Hacker News / 5 months ago
Nango fits teams that already have an agent stack and want OAuth and token handling done cleanly. - Source: dev.to / 5 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Composio.dev - Make Agents Actually Useful!
NumPy - NumPy is the fundamental package for scientific computing with Python
Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.
OpenCV - OpenCV is the world's biggest computer vision library
Polytomic - The one platform to sync any data anywhere