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What is Scarf?

Scarf is an all-encompassing platform designed to provide detailed analytics to maintainers of open-source projects concerning the usage of their software. By offering crucial insights into various elements such as the businesses that interact with a project, the rate of package downloads, and the particular versions in use, Scarf significantly boosts the effectiveness of marketing and sales strategies. It plays an essential part in identifying potential customers within the open-source ecosystem through Open Source Qualified Leads (OQLs), enabling organizations to refine their outreach efforts with precision. Furthermore, Scarf's compatibility with numerous third-party platforms enhances the value of the data provided, guaranteeing that users gain a complete understanding of their project's market influence and reach. This comprehensive approach not only simplifies the analytics process but also strengthens the relationships between project maintainers and prospective users, ultimately creating a more engaged community. With its robust features, Scarf empowers maintainers to make informed decisions that can lead to greater project success.

What is Kubit?

Warehouse-Native Customer Journey Analytics—No Black Boxes. Total Transparency. Kubit is the leading customer journey analytics platform, purpose-built for product, data, and marketing teams that need self-service insights, real-time data visibility, and complete control—without engineering bottlenecks or vendor lock-in. Unlike legacy analytics solutions, Kubit is natively integrated with your cloud data warehouse (Snowflake, BigQuery, Databricks), so you can analyze customer behavior and user journeys directly at the source. No data exports. No hidden models. No black-box limitations. With out-of-the-box capabilities for funnel analysis, retention metrics, user pathing, and cohort analysis, Kubit delivers actionable insights across the full customer lifecycle. Layer in real-time anomaly detection and exploratory analytics to move faster, optimize performance, and drive user engagement. Leading brands like Paramount, TelevisaUnivision, and Miro rely on Kubit for its flexibility, enterprise-grade governance, and best-in-class customer support. See why Kubit is redefining customer journey analytics at kubit.ai

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Snowflake
ClickHouse
Common Room
Domo
MongoDB
Pocus
Salesforce
Tableau
Zoho CRM

Integrations Supported

Amazon Redshift
Databricks
Snowflake
Adjust
Airship
Branch
Google Cloud BigQuery
Microsoft Azure
Segment
Snowplow Analytics
Unity
mParticle

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Kubit offers transparent, scalable pricing based on Monthly Tracked Users (MTUs), making it easy to align costs with your actual usage. All plans include unlimited events and seats—so you never have to worry about overage fees or hidden charges. With a no-code setup and native integration with your cloud data warehouse, Kubit minimizes engineering lift while accelerating time-to-insight.
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scarf

Date Founded

2019

Company Location

United States

Company Website

about.scarf.sh/

Company Facts

Organization Name

Kubit

Company Location

United States

Company Website

www.kubit.ai/

Categories and Features

Product Analytics

Not specified

Categories and Features

Customer Journey Mapping Tools

Attribution Modeling
Behavioral Analytics
Data Import / Export
Predictive Analytics

Data Modeling

Not specified

Digital Analytics

Not specified

Marketing Analytics

Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
Website Analytics

Mobile App Analytics

Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Retention Tracking
Revenue Tracking

Product Analytics

Attribution
Churn Reporting
Customer Journey Analytics
Data Export
Data History Retention
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

User Research

Not specified

Web Analytics

Conversion Tracking
Goal Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Time on Site Tracking
User Interaction Tracking

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