Results for “datadome”

Persists app data on Android using Room, SQLite, SharedPreferences, DataStore, and encryption.

Wrapper Pythônico ao redor do RDKit com interface simplificada e padrões sensatos. Preferido para descoberta de fármacos padrão: análise de SMILES, padronização, descritores, fingerprints, clustering, conformadores 3D, processamento paralelo. Retorna objetos nativos rdkit.Chem.Mol. Para controle avançado ou parâmetros customizados, use rdkit diretamente.

Query and filter Datadog logs from the shell using the Composio CLI, enabling scoped log searches, pivoting across services and environments, and exporting structured JSON for downstream analysis.

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.

Generate production-ready Dataverse SDK solutions with architecture recommendations, data models, and implementation code for common business use cases.

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for incident investigation and diagnostics.

Therapeutics Data Commons. Conjuntos de dados prontos para IA em descoberta de drogas (ADME, toxicidade, DTI), benchmarks, divisões de scaffold, oráculos moleculares, para ML terapêutico e predição farmacológica.

Guides setting up Drizzle ORM with Vercel Postgres and Vercel KV for a manufacturing analysis app, covering schema definition, queries, migrations, caching, sessions, and rate limiting.

Manage, annotate, and trace biological data with LaminDB, an open-source FAIR data framework that makes datasets queryable, versioned, and reproducible. Use when registering or querying biological datasets (scRNA-seq, spatial, flow cytometry), validating and curating data against ontologies (genes, cell types, diseases, tissues), tracking data lineage and computational workflows, building data lakehouses, or wiring integrations with Nextflow, Snakemake, W&B, or MLflow. Part of the AlterLab Academic Skills suite.

Query Google Data Commons for public statistical data aggregated from global sources, resolving geographic entities and pulling time-series statistics. Use when working with demographic data, economic indicators, health statistics, or environmental data — population counts, GDP figures, unemployment rates, disease prevalence — or when resolving places to DCIDs and exploring relationships between statistical entities. Part of the AlterLab Academic Skills suite.

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

Use when working with NCBI ASN.1 module files, schema exports, or ASN.1/XML conversion tasks that require the `datatool` command.

Documenta completamente o banco de dados do projeto legado — tabelas, relacionamentos, constraints, triggers, procedures e ERD completo. Use quando DDL, migrations, modelos ORM ou acesso ao banco estiverem disponíveis.