Showing 4 open source projects for "data analysis and visualizing"

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  • Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails Icon
    Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails

    For organizations in regulated industries needing a solution to replace traditional fax infrastructure and integrate with email or online portals

    Unlike email or file-sharing tools, Fax.Cloud doesn’t bounce around the internet, exposed and vulnerable. It’s direct, encrypted, and verified. You get delivery confirmation, audit trails, and peace of mind, without the spam filters, metadata leaks, or cyber threats.
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  • SOCRadar Extended Threat Intelligence Platform Icon
    SOCRadar Extended Threat Intelligence Platform

    Get real-time visibility into vulnerabilities, leaked data, and threat actor activity targeting your organization.

    SOCRadar Extended Threat Intelligence, a natively single platform from its inception that proactively identifies and analyzes cyber threats with contextual and actionable intelligence.
    Start Free Trial
  • 1
    Rill

    Rill

    Fast SQL-based BI tool for real-time dashboards and analytics

    Rill is an operational BI tool that turns raw datasets into fast, interactive dashboards using SQL and a code-first approach. It helps data teams move from data lake to insight quickly, without the complexity of traditional BI systems. With an embedded in-memory database powered by DuckDB or ClickHouse, queries run in milliseconds, enabling real-time exploration and analysis. Rill supports local and remote data sources such as CSV, Parquet, S3, and GCS, making it flexible across environments. ...
    Downloads: 3 This Week
    Last Update:
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  • 2
    Anyquery

    Anyquery

    Query anything (GitHub, Notion, +40 more) with SQL and let LLMs

    ...Users can query structured files such as CSV, JSON, and Parquet as well as remote data sources like SaaS APIs, cloud storage services, and local applications. The platform also supports querying multiple data sources simultaneously and joining them together within a single SQL query, enabling powerful cross-system analysis. In addition to operating as a local query engine, the system can run as a MySQL-compatible server so that traditional database tools can connect to it.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Slack MCP Server

    Slack MCP Server

    The most powerful MCP Slack Server with no permission requirements

    Slack MCP Server is an open-source server implementation that connects Slack workspaces to AI systems through the Model Context Protocol (MCP). MCP is a standardized protocol that allows large language models and AI agents to securely interact with external tools and data sources such as messaging platforms, databases, or file systems. The slack-mcp-server acts as an intermediary layer that exposes Slack data and messaging functionality to AI clients while enforcing access rules and communication standards. Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. ...
    Downloads: 1 This Week
    Last Update:
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  • 4
    ENScan Go

    ENScan Go

    ENScan_GO is an enterprise information reconnaissance tool

    ENScan_GO is an enterprise information reconnaissance tool focused on Chinese corporate data sources. It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms.
    Downloads: 2 This Week
    Last Update:
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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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