Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
Exploratory
WEKA
htm.java
AECharts
Flourish
Pie Chart Maker
LivingCharts
PieChartMaker.co
AEInfographics
PieChartMaker.me
Charts Factory
AECharts is a web-based tool for creating animated chart videos. Users paste or upload data, choose a template, customize the styling, and export a polished MP4 โ no video editing software or design skills required.
The workflow is simple: bring in your data via paste, CSV, Excel, or Google Sheets. AECharts parses it automatically. Select a chart type and template, customize colors, fonts, labels, and animation speed in a live-preview editor.
When you're done, export a full MP4 video ready for presentations, social media, or reports.
Chart types include: - Vertical and horizontal bar charts for category comparisons - Line charts for time-series trends - Pie charts for part-to-whole relationships - Bar race charts for animated rankings over time - Gauge, waffle, and Sankey diagrams for specialized use cases
The rendering engine is built on PixiJS (WebGL) and GSAP animations, producing smooth, high-quality output. Templates are designed to follow data visualization best practices out of the box.
User accounts are backed by Firebase with automatic cloud saving โ no save button, no lost work. Your file library persists across sessions with full edit history.
AECharts is built for marketers, founders, journalists, and content creators who want to turn data into compelling visual stories without the overhead of motion graphics tools. Where Datawrapper and Flourish made static charts accessible to non-designers, AECharts does the same for animated video.
Scikit-learn AEChartsNo AECharts videos yet. You could help us improve this page by suggesting one.
AECharts's answer:
AECharts is unique because it turns raw data into ready-to-share animated chart videos in seconds.
Upload CSV or paste data โ get MP4/WebM charts instantly
Built for video, not dashboards. Perfect for Reels, TikTok, YouTube, slides
Fully customizable charts: colors, labels, axes, animations
No After Effects, no templates, no design skills needed
Exports lightweight videos optimized for social and web
Runs in the browser. No installs. No login required
Made for creators, journalists, marketers, and analysts who need visual data fast
Most chart tools make images. AECharts makes motion.
AECharts's answer:
Choose AECharts over competitors because itโs the fastest way to turn data into shareable animated visuals with zero design work.
Video-first output: Unlike static chart tools, AECharts generates MP4/WebM animations ready for social platforms and presentations.
No software to install: Works entirely in the browser โ no plugins, downloads, or steep learning curves.
Auto smart layouts: Automatically positions labels, colors, and axes so charts look polished without tweaking.
Speed and simplicity: Seconds from data to video versus hours in traditional design tools.
Custom branding: Easy control of fonts, colors, transitions to match your style.
Lightweight exports: Optimized video files for web, mobile, and social engagement.
In short: AECharts delivers animated, on-brand data visuals faster and easier than any alternative.
AECharts's answer:
People who need data to work on video.
Content creators making Reels, TikToks, YouTube, Shorts
Journalists and media pages posting data stories
Marketers creating social ads and explainer videos
Analysts who want charts that move, not just screenshots
They care about speed, shareability, and visual impact, not dashboards or BI tools.
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 / 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 / 3 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 / 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.
Flourish - Powerful, beautiful, easy data visualisation
NumPy - NumPy is the fundamental package for scientific computing with Python
Pie Chart Maker - Craft stunning, customizable pie charts in a snap! - PieChartMaker
OpenCV - OpenCV is the world's biggest computer vision library
LivingCharts - Create animated charts and turn your data into engaging videos without coding.
