Results for “treebank”

Manipulate phylogenetic trees, detect evolutionary events, integrate NCBI taxonomy, and create publication-quality visualizations using the ETE toolkit.

Streams change data capture events from a TigerBeetle financial transactions database into Redpanda or Kafka using the tigerbeetle_cdc input, with checkpointing, filtering, and routing guidance.

Operate Redpanda through its Kafka-compatible API: produce and consume records, manage topics and consumer groups, run transactions, and configure tiered storage using rpk and Kafka clients.

Analyze Base EVM tokens via the deluagent oracle. Pass a contract address or cashtag to receive a flat decision header (action, conviction, entry/stop/size, read) and a full cognition report. Tiered x402 pricing with sequential calls required.

Builds statistical plots with the seaborn Python library and pandas DataFrame integration, on attractive matplotlib-based defaults. Use for quick exploration of distributions, relationships, and categorical comparisons — box plots, violin plots, swarm/strip plots, KDE/histograms, pair plots, joint plots, regression plots, correlation heatmaps, and faceted small multiples (relplot/displot/catplot/lmplot). For interactive/hover/zoom charts defer to alterlab-plotly; for exact journal/manuscript styling (column widths, point fonts, CMYK, vector export) defer to alterlab-scientific-viz; for low-level custom matplotlib figures defer to alterlab-matplotlib (seaborn integrates with it for fine-tuning). Part of the AlterLab Academic Skills suite.

Search movies and TV shows, retrieve cast, ratings, streaming availability, and personalized recommendations via the TMDb API.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Manage biological datasets and models with LaminDB, an open-source lineage-native lakehouse. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation, collections, branches, storage, and workflow integrations.

Expert guidance for architecting, developing, and operating SurrealDB 3, covering SurrealQL, multi-model data modeling, vector search, security, deployment, performance tuning, SDK integration, and ecosystem tools.

Provides ClickHouse schema design, query optimization, and data ingestion patterns for high-performance analytical workloads.

Provides ClickHouse-specific patterns for schema design, query optimization, data ingestion, and analytics, including materialized views and performance monitoring.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.