Quickly and accurately render even the largest data.
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Updated
Oct 2, 2026 - Python
Quickly and accurately render even the largest data.
Transform natural language into SQL queries using Azure OpenAI. Visualize database results with interactive charts and explore data effortlessly.
A tool to decode star spectrum images using OpenCV to make predictions about its charatestics.
Open-source Python CTI pipeline that collects and enriches IoCs from five feeds, generates a Plotly dashboard and CSV export, and forecasts seven-day threat trends for SOC analysts.
Visualize your codewars training streaks and detailed statistics on each language you have trained on.
Upload a CSV → get a full EDA report with LLM-generated executive summary, charts, and downloadable PDF/Word exports. Built with Streamlit, Pandas, and OpenAI GPT-4. Handles 50K+ row datasets, cuts manual EDA time by 60%. Includes a sample output report.
Real-time neural network observability platform for monitoring activations, gradients, information flow, and architecture health.
Analyze Your Data | Dash application - drag and drop to analyze and visualize your data. Multi-language support.
A Critical Appraisal Plot Visualiser for Risk of Bias & Certainty of Evidence in Systematic Reviews and Meta-Analyses
Dashboard showing my study hours in my third undergraduate year
A conversational AI tool that turns raw datasets into interactive charts and insights using natural language. Built by Tactara.ai with LLMs, Streamlit, and dynamic visualization logic. Just upload your data, ask questions, and watch it visualize.
SmartEDA
AI-powered ATS resume analyzer that evaluates resumes against a job description, performs skill gap analysis, and provides HR-style feedback with visual analytics.
Scrape soccer data from Wikipedia across various European football leagues and perform interactive data visualizations on it.
Dashboard interativo de vendas com Python, Pandas e Streamlit, incluindo filtros, KPIs, gráficos e exportação CSV.
An AI-powered data analyst that transforms natural language questions into Python-driven data analysis, visualizations, and actionable insights using Streamlit and Gemini AI.
My Python code to build a 3D (declination, right ascension, radial velocity) cube, and then infer Position-Velocity or Mass-Velocity diagrams from it
An interactive Power BI dashboard and exploratory data analysis pipeline evaluating 5.8M+ U.S. domestic flight records, delays, and cancellations.
I analyze and explore US Census Bureau Data using Data Visualization techniques to identify salient features useful for predicting an individual's income level. We use those relevant features and multiple classification methods (Decision-Tree, SVM, and K-Nearest Neighbor) to predict the income level for unknown individuals. Our client is a local…
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