Data & Analytics
2,125 results
- Hugging Face Datasetspatchy631Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
- Hugging Face Trackiopatchy631Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
- EastmoneyHKUDS东方财富（Eastmoney）免费免鉴权数据接口，覆盖资金流向、龙虎榜、融资融券、大宗交易、股东户数、限售解禁、行业概念板块、券商研报、财经新闻、A股/港股三大报表+主要指标、全市场选股与代码搜索；美股财报由 get_financial_statements 转 SEC EDGAR。东财请求经共享 IP 限速层节流（东财按源 IP 限流并临时封禁突发请求），通过 Vibe-Trading 工具直接调用，无需 token。
- Elliott WaveHKUDSElliott Wave Theory signal engine. Detects swing points through Zigzag, matches 5-wave impulse and 3-wave corrective structures, validates them with Fibonacci wave relationships, and generates trend-top / correction-complete signals. Pure in-house pandas implementation.
- Onchain AnalysisHKUDSOn-chain data analysis — active addresses / whale tracking / TVL / DEX liquidity, interpretation and signal generation using on-chain valuation metrics such as MVRV / NVT / SOPR.
- TushareHKUDStushare是一个财经数据接口包，拥有丰富的数据内容，如股票、基金、期货、数字货币等行情数据，公司财务、基金经理等基本面数据。该模块通过标准化API方式统一了数据资产的对外服务方式，以帮助有需要的技术用户更实时、简洁、轻量的使用相关数据。
- Analyzing Network Flow Data With NetflowMahipalParse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis to identify flows with abnormal byte counts, connection durations, and periodic timing patterns.
- Analyzing Web Server Logs For IntrusionMahipalParse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.
- Detecting Anomalous Authentication PatternsMahipalDetects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs.
- Detecting Beaconing Patterns With ZeekMahipalPerforms statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the ZAT library to load Zeek logs into Pandas DataFrames, calculates inter-arrival time standard deviation, and flags periodic connections with low jitter. Use when hunting for command-and-control callbacks in network data.
- Detecting Business Email CompromiseMahipalDetect Business Email Compromise (BEC) fraud, where attackers impersonate executives or vendors to trick employees into wire transfers or data disclosure without malicious links, using email gateway rules, behavioral analytics, and financial process controls.
- Hunting Credential Stuffing AttacksMahipalDetects credential stuffing attacks by analyzing authentication logs for login velocity anomalies, ASN diversity, password spray patterns, and geographic distribution of failed logins. Uses statistical analysis on Splunk or raw log data. Use when investigating account takeover campaigns or building detection rules for auth abuse.
- Hunting For Beaconing With Frequency AnalysisMahipalIdentify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis, jitter calculation, and coefficient of variation scoring to detect periodic callbacks from compromised endpoints.
- Implementing Cisa Zero Trust Maturity ModelMahipalAssess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities (Visibility/Analytics, Automation/Orchestration, Governance), from Traditional through Optimal maturity.
- Implementing Network Traffic BaseliningMahipalBuilds network traffic baselines from NetFlow/IPFIX CSV or JSON exports using Python pandas, computing hourly/daily volume distributions, per-host and protocol/port statistics, and top-talker profiles, then flags outliers via z-score and IQR anomaly detection.
- Performing Ai Driven Osint CorrelationMahipalUse AI/LLM-based reasoning with Sherlock, theHarvester, and SpiderFoot to correlate OSINT findings—usernames, emails, social profiles, domain records, breach databases, and dark-web mentions—into unified, confidence-scored intelligence profiles with link analysis. Use when raw OSINT data from multiple sources needs merging into one target profile or resolving identity linkage across platforms.
- Performing Credential Access With LazagneMahipalExtract stored credentials from compromised endpoints using the LaZagne post-exploitation tool to recover passwords from browsers, databases, system vaults, and applications during authorized red team operations.
- Performing Dns Tunneling DetectionMahipalDetects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality. Uses scapy for packet capture analysis and statistical methods to distinguish legitimate DNS from covert channels. Use when hunting for data exfiltration.
- Performing Network Traffic Analysis With TsharkMahipalAutomate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection.
- MermaidiofficeaiRender Mermaid diagrams as SVG or ASCII art using beautiful-mermaid. Use when users need to create flowcharts, sequence diagrams, state diagrams, class diagrams, or ER diagrams. Supports both graphical SVG output and terminal-friendly ASCII/Unicode output.
- Alloydb Basicsdavila7Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB MCP tools for automated database operations including AI-powered search and vector capabilities.
- Bigquery Basicsdavila7Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
- Cocoindexdavila7Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental…
- Curviate ProfileCurviateRead and write LinkedIn profiles and company pages with the Curviate CLI, and resolve human search terms into the opaque filter ids the search commands need. Covers `profile` (me, detail, sections, update, subscription, analytics, visitors, SSI), `company` (detail, employees, posts, jobs, followers, page inbox, follow-invite), `search parameters`, retrieval mode (`--mode`/`--max-age`), and the…