ZingGrid
DataTables
Handsontable
Backgrid.js
FancyGrid
jqGrid
AG Grid
Vaadin Framework
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
ZingGrid is web component-based JavaScript library for data grids & tables with lots of built-in features and tons of out-of-the-box functionality. Whether you're looking for built-in interactivity like CRUD, data sorting and filtering, or a mobile-friendly solution for simple data visualization โ ZingGrid gives you the flexibility to choose exactly the features you need for your next project.
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ZingGrid's answer
Standard web platform using vanilla JavaScript and relying on the web components API so it is agnostic to framework use.
ZingGrid's answer
We had built ZingChart, which is used by numerous small and large organizations worldwide, and wanted to address the other aspects of data presentation outside of charting. Given our emphasis at the time of long lived software we opted to go close to web platform and that is why we implemented it as a web component so early.
ZingGrid's answer
Web standards-focused, framework agnostic, very easy to tie it to a REST or GraphQL endpoint, lots of hooks for customization, and very easy to get started with
ZingGrid's answer
Web developers and web designers looking for a data table or data grid solution for their site or application and not wanted to get locked into a non webstandards solution
ZingGrid's answer
It's the first web component specific advanced datagrid on market and very focused on making common development tasks incredibly easy.
Based on our record, Scikit-learn seems to be more popular. 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
DataTables - DataTables is a plug-in for the jQuery Javascript library.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Handsontable - JavaScript Spreadsheet
NumPy - NumPy is the fundamental package for scientific computing with Python
Backgrid.js - A powerful widget set for building data grids with Backbone.js
OpenCV - OpenCV is the world's biggest computer vision library