Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 13,012
pages available: 543

Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.

Open in full browser

Browse data & analytics skills

Showing 10,777–10,800 of 13,012 skills

BiostringsAR Biostrings package for biological sequences. Use for DNA, RNA, and protein sequence manipulation.datagoapiVotes: 0GitHub stars: 5
BioconductorAR Bioconductor ecosystem for bioinformatics. Use for genomics, proteomics, and bioinformatics analysis.dataapiVotes: 0GitHub stars: 5
R BioAR bioinformatics packages. Use for genomic data analysis, RNA-seq, phylogenetics, and Bioconductor workflows.datagoexpressVotes: 0GitHub stars: 5
r-analyticsAR language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".datagobashVotes: 0GitHub stars: 5
AstropyAAstropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.datapythonbashVotes: 0GitHub stars: 126
Xlsx OfficialAUnless otherwise stated by the user or existing templatedatapythongoVotes: 0GitHub stars: 126
Skills DirectorySkills Directory 3 slots · $399/mo · one ad per page · sponsors can never buy grades.See placements
Sendgrid AutomationAAutomate SendGrid email delivery workflows including marketing campaigns (Single Sends), contact and list management, sender identity setup, and email analytics through Composio's SendGrid toolkit.datagosqlVotes: 0GitHub stars: 126
SeabornASeaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.datapythongoVotes: 0GitHub stars: 126
PolarsAFast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.datapythonrustVotes: 0GitHub stars: 126
PlotlyAInteractive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.datapythongoVotes: 0GitHub stars: 126
NetworkxANetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.datapythongoVotes: 0GitHub stars: 126
N8n Code PythonAWrite Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.datajavascriptpythonVotes: 0GitHub stars: 126
MatplotlibAMatplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.datapythongoVotes: 0GitHub stars: 126
Keyword ExtractorAExtracts up to 50 highly relevant SEO keywords from text. Use when user wants to generate or extract keywords for given text.datagoVotes: 0GitHub stars: 126
InstagramAIntegracao completa com Instagram via Graph API. Publicacao, analytics, comentarios, DMs, hashtags, agendamento, templates e gestao de contas Business/Creator.datapythongoVotes: 0GitHub stars: 126
Hugging Face Dataset ViewerAQuery Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.databashsqlVotes: 0GitHub stars: 126
Ab Test SetupAStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.datagorailsVotes: 0GitHub stars: 126
Ml TradingAMachine learning for trading — supervised classification/regression (XGBoost, LSTM), feature engineering, unsupervised regime detection (K-Means, HMM), reinforcement learning (PPO), NLP sentiment, and time-series cross-validation. Use for ML trading, machine learning, feature engineering, XGBoost, LSTM, or any ML-based trading model development.datapythongoVotes: 0GitHub stars: 14
Market IntelligenceAComplete market intelligence layer — macro analysis, regime classification, news impact, sentiment, institutional behavior, event timelines, pair correlations, and trading fundamentals. Includes NLP sentiment scoring, news straddle strategies, COT positioning, seasonality analysis, contrarian sentiment composites, economic indicator tracking, and event timeline linking. MACRO & INTERMARKET: "DXY", "dollar index", "VIX", "volatility index", "yield curve", "bond yields", "10-year", "2-10 sprea...datapythongoVotes: 0GitHub stars: 14
Freqtrade BotAFreqtrade — open-source Python crypto trading bot. Backtesting, hyperopt (ML parameter optimization), FreqAI (self-training adaptive strategies), Telegram + WebUI control. Supports Binance, Kraken, Bybit, OKX, Gate.io (spot + futures). SQLite trade hdatajavascripttypescriptVotes: 0GitHub stars: 14
Backtesting SimABacktesting and simulation: vectorized backtesting, paper trading simulation, strategy A/B testing, automated strategy building, natural language to strategy, and trading plan generation. USE FOR: backtest, backtesting, paper trading, simulation, strategy builder, A/B test strategies, natural language strategy, trading plan, equity curve, drawdown analysis, walk-forward, Monte Carlo simulation, performance metrics, Sharpe, Sortino, Calmar, win rate, profit factor, expectancy, strategy validat...datapythongoVotes: 0GitHub stars: 14
Backtest Report GeneratorAGenerates publication-quality backtest reports with equity curves, Monte Carlo simulations, tearsheets, and comprehensive risk analysis. Use this skill whenever the user asks to "generate a backtest report", "create tearsheet", "equity curve", "Monte Carlo simulation", "strategy report", "performance tearsheet", "backtest results", "drawdown analysis", "strategy statistics", "risk report", "publish backtest", "PDF report", "HTML report", or any request to visualize and document strategy backt...datapythongoVotes: 0GitHub stars: 14
Anomaly Detector Anton Abyzov SpecweaveAAnomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abnormal behavior", "unusual patterns", "detect anomalies", "system monitoring". Handles supervised and unsupervised anomaly detection with SpecWeave increment integration.datapythongoVotes: 0GitHub stars: 666
Startup Data Scientist Rwhiveaqua Advisor 45dd5392AData scientist specializing in startup analytics, user behavior tracking, and metrics analysis for Lean Startup and Customer Development methodologies. Use when analyzing user data, setting up analytics, measuring validation metrics, cohort analysis, or when user asks about tracking, metrics, data analysis, or measuring startup hypotheses.datajavascriptpythonVotes: 0GitHub stars: 666