Plugins
1 pluginResults for “big-o”
15 skills
google Bigquery Bigframes
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.
14.4k
neuralblitz Applied Big Data Design
Performs design operations in the big-data domain, including hypothesis testing, statistical analysis, and data visualization using ML frameworks.
1 · bundle
google Datalineage Bigquery Asset Impact Analysis
Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified, identifying all affected downstream tables, dashboards, and processes.
14.4k · bundle
neuralblitz Big Data
Designs and implements big data architectures, processes large-scale datasets with distributed systems, and optimizes data pipelines for throughput using Hadoop, Spark, and cloud platforms.
1
microsoft Azure Storage File Datalake Py
Manage Azure Data Lake Storage Gen2 with Python SDK for hierarchical file systems, big data analytics, and file/directory operations.
2.7k
tools-only 162 Use E70e84f3
Provides guidance on using Apache Spark RDDs, including creation, transformations, actions, and performance considerations.
7 · bundle
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jeffallan Spark Engineer
Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.
10.4k · bundle
microsoft Azure Kusto
Execute KQL queries and manage Azure Data Explorer resources for fast, scalable big data analytics on log, telemetry, and time series data.
2.7k
adobe Aa Top Movers Watchlist
Identifies which dimension items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods.
142 · bundle
antigravity SQL Pro
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
42.4k
adobe Cja Top Movers Watchlist
Identifies which items (pages, campaigns, products, channels, regions) had the biggest increases or decreases for a key metric between two time periods.
142 · bundle
k-dense-ai Vaex
Process and analyze large tabular datasets (billions of rows) that exceed available RAM using lazy, out-of-core DataFrames with fast aggregations, visualization, and machine learning integration.
30.2k · bundle
k-dense-ai Deeptools
Process and analyze high-throughput sequencing data with deepTools for quality control, normalization, comparison, and publication-quality visualizations of ChIP-seq, RNA-seq, and ATAC-seq experiments.
30.2k · bundle
lingxling 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.
253 · bundle
k-dense-ai 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