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Lamportlens — propavingk

LamportLens is an offline Python command-line tool that analyzes JSONL exports of Solana account snapshots. It flags balances below rent-exempt minimums and summarizes lamport bonds, deficits, data-size bands and owner distributions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Lamportlens — propavingk — 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 exporting Solana account data when you need an offline, dataset-wide account funding and storage analysis.

Who it is for

  • Solana developers and operators who have account snapshot exports
  • Teams assessing storage-related lamport balances across many accounts

Documented uses

  • Identify accounts below a selected rent-exempt minimum.
  • Estimate the total lamport bond and underfunded deficit represented in a snapshot.
  • See how captured balances are distributed across account data sizes and owners.
  • Review malformed JSONL records without losing the rest of the report.
Before you choose

Requirements & limits

The Python core is documented as requiring no installation beyond Python and uses the standard library. The repository is MIT-licensed.

  • Input must be an account snapshot in JSONL format.
  • The selected lamports-per-byte rate affects rent-exempt classifications.
  • Executable program accounts are excluded from data-size bands and locked-balance totals.
  • A separate TypeScript verifier is included; it is not the Python audit command.

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

Audit a Solana snapshot with the Python CLI

Generate a text audit report from a JSONL account snapshot.

Before you start

  • A checkout of the LamportLens repository
  • A JSONL export of Solana account snapshots
  • Python

Steps

  1. Set PYTHONPATH to the repository's src directory.

  2. Run the command below with the JSONL snapshot path.

    Documented command
    python -m lamportlens audit

Expected outcome

A line-oriented report with account statuses, totals, data-size bands, owner rankings and parse errors.

Guide limitations

  • The report analyzes the supplied snapshot rather than querying live accounts.
  • Rent-exempt results depend on the lamports-per-byte rate used.
Documentation 1 ↗
Evidence and transparency

Sources & review

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