All categories
Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
- 13,012
- 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 browserBrowse data & analytics skills
Showing 2,113–2,136 of 13,012 skills
- Alterlab PhylogeneticsBuild phylogenetic trees end-to-end from raw sequences — MAFFT multiple sequence alignment, optional TrimAl trimming, IQ-TREE 2 maximum-likelihood inference with model selection and bootstraps, FastTree for large datasets, then visualize with ETE3 or FigTree. Use when reconstructing trees from sequences (FASTA) for evolutionary analysis, microbial genomics, viral phylodynamics, protein-family studies, or molecular-clock dating. For manipulating/comparing an EXISTING Newick tree (prune, root, ...Votes: 0GitHub stars: 36
- Alterlab Nmc Data JournalistThis skill should be used when the user asks about "data journalism", "data visualization", "data storytelling", "FOIA request", "RTI request", "spreadsheet analysis", "chart design", "act as a data journalist", "data journalist mode", "infographic", "open data", "statistical analysis for journalism", "investigative data", "public records", "Datawrapper", "Flourish", "Tableau Public", "D3.js", "chart type selection", or needs expertise in finding, analyzing, and visualizing data for journalis...Votes: 0GitHub stars: 36
- Alterlab NetworkxCreates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing topologies — applicable to social, biological, transportation, citation, and any pairwise-relationship networks. This is classical graph analytics, not deep learning — for train...Votes: 0GitHub stars: 36
- Alterlab MolfeatFeaturizes molecules for machine learning with molfeat (100+ featurizers) — ECFP/MACCS/MAP4 fingerprints, RDKit and Mordred physicochemical descriptors, and pretrained embeddings (ChemBERTa, ChemGPT, GIN) exposed as scikit-learn transformers that convert SMILES into feature vectors. Use when turning molecules into ML-ready feature matrices for QSAR/QSPR or virtual screening, or benchmarking fingerprint against descriptor and embedding representations; for training models and MoleculeNet bench...Votes: 0GitHub stars: 36
- Alterlab Imaging Data CommonsQuery and download public cancer imaging data from the NCI Imaging Data Commons (IDC) using the idc-index Python package, filtering by metadata, visualizing in-browser, and checking licenses, with no authentication required. Use when obtaining large-scale radiology (CT, MR, PET) or digital pathology DICOM datasets for AI/ML training or cancer imaging research. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab Hedgefund MonitorQueries the OFR (Office of Financial Research) Hedge Fund Monitor API for time series on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management, including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms (no API key or registration required). Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, c...Votes: 0GitHub stars: 36
- Alterlab GtarsRuns high-performance genomic interval analysis with gtars (databio), a Rust toolkit with Python bindings — the performance-critical backend for the geniml ML library. Use when computing overlaps/jaccard/coverage between BED region sets, indexing intervals with IGD, generating uniwig accumulation/coverage tracks, tokenizing genomic regions for ML, splitting single-cell fragments into pseudobulks, or computing GA4GH refget sequence digests. NOT for training region embeddings (use alterlab-geni...Votes: 0GitHub stars: 36
- Alterlab GeopandasReads, writes, and analyzes geospatial vector data with the GeoPandas Python library (shapefiles, GeoJSON, GeoPackage), with PostGIS support and integration with matplotlib, folium, and cartopy. Use for spatial analysis and geometric operations — buffer analysis, spatial joins and overlays between datasets, dissolving boundaries, clipping, calculating areas and distances, reprojecting coordinate systems, choropleth mapping, or converting between vector file formats. This is for tabular vector...Votes: 0GitHub stars: 36
- Alterlab GenimlMachine learning on genomic interval data (BED files) with the geniml Python package — region embeddings (Region2Vec), joint region+metadata embeddings (BEDspace/StarSpace), single-cell ATAC-seq embeddings (scEmbed), consensus peak sets / universes (build-universe), tokenization, BEDshift randomization, and BBClient/BEDbase caching. Use when training or using region/cell embeddings, clustering scATAC-seq, building a tokenization universe from BED collections, or any ML/feature-learning task o...Votes: 0GitHub stars: 36
- Alterlab FlowioParse and write FCS (Flow Cytometry Standard) files v2.0-3.1 with FlowIO — extract event data as NumPy arrays, read $-keyword metadata and channel/parameter definitions, and convert events to CSV or pandas DataFrame. Use when loading raw .fcs flow-cytometry files, inspecting channels and metadata, or preprocessing cytometry data for downstream gating and analysis. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab EdaExploratory data analysis (EDA) on a scientific data file — auto-detects the format, runs structure/quality/statistics checks, and writes a markdown EDA report with downstream recommendations. Use when asked to "explore", "analyze", "summarize", "profile", or "QC" a data file, or to understand its structure/content/quality before deciding what analysis to run. Covers tabular (.csv .tsv .xlsx .parquet), arrays (.npy .npz .hdf5 .h5 .mat .fits), sequence/genomics (.fasta .fastq .sam .bam .vcf .b...Votes: 0GitHub stars: 36
- Alterlab DeepchemRuns molecular machine learning with DeepChem — diverse featurizers, pre-built MoleculeNet benchmark datasets, and pre-trained models (ChemBERTa, GROVER) for property prediction (ADMET, toxicity, solubility) via traditional ML or graph neural networks. Use when running end-to-end molecular ML experiments that need MoleculeNet benchmarks, scaffold splitting, or ready-made models with minimal setup; for building custom PyTorch graph architectures prefer alterlab-torchdrug, and for standalone mo...Votes: 0GitHub stars: 36
- Alterlab DatamolWraps RDKit in a high-level, pandas-friendly datamol interface with sensible defaults for everyday drug discovery — SMILES/SDF loading into DataFrames, molecule standardization, descriptors, fingerprints, Butina clustering, 3D conformer generation, scaffold analysis, and parallel batch processing, returning native rdkit.Chem.Mol objects. Use when running standard cheminformatics pipelines on molecule tables with minimal boilerplate; for low-level control, custom sanitization, or specialized a...Votes: 0GitHub stars: 36
- Alterlab DaskScales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab CellxgeneQuery the CZ CELLxGENE Census (61M+ cells) programmatically via cellxgene-census and TileDB-SOMA, slicing expression by tissue, disease, or cell type and returning AnnData. Use when pulling reference single-cell RNA-seq data from the largest curated public atlas, running population-scale queries, or benchmarking your data against a reference — for analyzing your own dataset use scanpy or scvi-tools. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab BiopythonManipulate biological sequences, parse FASTA/GenBank/PDB files, run phylogenetics, and access NCBI/PubMed programmatically via Biopython (Bio.SeqIO, Bio.Entrez, Bio.PDB, Bio.Blast). Use when scripting custom bioinformatics pipelines, batch-processing sequence files, automating BLAST, or fetching records from Entrez — for quick one-off database lookups use gget, for unified multi-service integration use bioservices. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab AstropyProcesses astronomy and astrophysics data with the Astropy Python library — celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, and world coordinate systems (WCS). Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or general astronomical data analysis. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab ArxivSearch and retrieve preprints from arXiv via the Atom API by keywords, authors, arXiv IDs, date ranges, or subject categories. Use when finding or fetching papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics, or resolving an arXiv ID to its metadata and PDF. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab ArboretoInfer gene regulatory networks (GRNs) from expression matrices using arboreto's scalable GRNBoost2 and GENIE3 tree-ensemble algorithms with Dask-distributed computation. Use when analyzing bulk or single-cell RNA-seq transcriptomics to map transcription-factor-to-target-gene regulatory interactions, build adjacency networks, or run the GRN-inference step of a SCENIC pipeline on large datasets. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Alterlab AeonRuns time series machine learning with the aeon library — classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search via scikit-learn compatible APIs. Use when working with temporal data, sequential patterns, or time-indexed observations (univariate or multivariate) that need specialized algorithms beyond standard ML approaches. Part of the AlterLab Academic Skills suite.Votes: 0GitHub stars: 36
- Ab Test StatsCalculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisionsVotes: 0GitHub stars: 36
- Ab Test SetupStructured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.Votes: 0GitHub stars: 16
- data-registration-compliance-review数据要素全生命周期合规审查框架，涵盖数据资产入表、数据资产证券化、数据产权登记、可信数据空间、数据交易所场内交易等五大领域的系统化合规审查。整理自公开法律法规、国家标准与通用合规方法论。Votes: 0GitHub stars: 2
- html-to-pptx把已有的幻灯片式 HTML（报告 / deck / dashboard）转成**真可编辑**的 PowerPoint .pptx—— 每段文字、每个表格单元格、每个色块、每根图表柱子都是 PPT 原生形状（DrawingML）， 可以在 PowerPoint 里直接改字改色，不是把整页截成一张图。用真实无头 Chrome 渲染取布局， 保真度高。当用户说「把 HTML 转成 PPT」「html 转 ppt」「导出成 pptx」「生成可编辑的 PowerPoint」「把这个报告 / 幻灯片 / dashboard 做成 PPT」，或 "html to pptx"、 "convert this HTML to PowerPoint"、"export the deck as an editable ppt" 时使用。 最适合固定画布、每页一屏的 deck，长滚动报告也能自动分页。 ❌ 不用于从零新做一套 HTML 幻灯片——本 skill 只转已经存在的 HTML。Votes: 0GitHub stars: 2