Packs
1 packResults for “pe-file”
10 skillsperfetto-sql
Translates natural language data intents into syntactically valid Perfetto SQL queries and executes them against a local trace file using trace_processor.
6.1k · bundle
surrealfs
Provides a persistent, queryable virtual filesystem backed by SurrealDB for AI agents, with a Rust core and a Python agent interface.
34
astropy
Performs astronomical data analysis with astropy: coordinate transformations, unit conversions, FITS file handling, cosmological calculations, time systems, tables, and WCS.
0 · bundle
astropy
Perform astronomical research and data analysis with coordinate transformations, unit conversions, FITS file operations, cosmological calculations, time handling, and tabular data manipulation.
42.4k · bundle
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performing-sqlite-database-forensics
Recover deleted records, analyze freelist pages, WAL files, and unallocated space in SQLite databases for digital forensics and incident response.
24.6k · bundle
polars-bio
Perform high-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames, including overlap, nearest, merge, coverage, complement, subtract, and reading/writing BED, VCF, BAM, GFF, FASTA, and FASTQ formats with streaming and cloud-native support.
30.2k · bundle
psql
Run SQL queries and psql meta-commands against PostgreSQL databases via the psql CLI, with options for file execution, tuples-only output, and timeouts.
567 · bundle
pyopenms
Analyze proteomics and metabolomics mass spectrometry data with PyOpenMS: read/write MS file formats, process spectra, detect and quantify features, identify peptides and proteins, and run end-to-end LC-MS/MS pipelines using ready-to-run scripts.
30.2k · bundle
creating-oracle-to-postgres-master-migration-plan
Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan.
36.2k
gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
30.2k · bundle