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Slotdrift

SlotDrift is an offline command-line tool that analyzes captured Solana slot records in JSONL form, reporting continuity and fork-related findings, leader skips and input errors.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Slotdrift — OpenViST project profile in Explorers & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it after obtaining a JSONL export of Solana slot records when you need a repeatable offline analysis of continuity, forks or leader skips.

Who it is for

  • Developers reviewing captured Solana slot data.
  • Teams checking replay exports for missing records, duplicate slots or orphaned branches.
  • Operators comparing observed leader skips across captured slot windows.

Documented uses

  • Summarize continuity and skipped slots in a captured window.
  • Find duplicate slots, noncanonical blocks, orphaned segments and impossible parent links.
  • Attribute scheduled and skipped slots to leaders.
  • Produce text or JSON reports for review or downstream use.
Before you choose

Requirements & limits

The public repository is open source under the MIT license. The documented primary workflow runs from a cloned repository; an installed console script is also described.

  • Input is captured JSONL slot data; SlotDrift is not the record-collection step.
  • The Python module uses the standard library, while a separate Rust engine is also provided.
  • Text and JSON report formats are documented; ordinary skipped slots are visible but are not counted as findings.
  • A missing record in the export can affect interpretation of apparent chain structure.
  • Repository metadata lists Python as the primary language, while the README describes an independent Rust engine and fixture parity checks.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Analyze a JSONL slot-record sample with the Python CLI

Run the documented Python module against a JSONL file and produce a continuity and fork report.

Before you start

  • A cloned SlotDrift repository.
  • Python and a JSONL file of slot records; the repository includes sample files.
  • The repository source directory available as PYTHONPATH.

Steps

  1. Set PYTHONPATH to src from the repository root.

  2. Run the command below, or substitute another JSONL input path.

    Documented command
    python -m slotdrift analyze samples/cluster-window.jsonl

Expected outcome

A text report summarizing the input window, continuity, findings, forks, leader skips and parse errors.

Guide limitations

  • The report describes the records provided; incomplete captures can make apparent gaps or parent anomalies difficult to interpret.
  • This recipe covers the documented Python path, not data collection or deployment.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
6 October 2026
Original website title
propavingk/SlotDrift · Official homepage title · retained in its source language
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