# nishant-Tiwari24/company-wise-dsa

Repository: https://github.com/nishant-Tiwari24/company-wise-dsa
Canonical: https://ross.abutalabs.com/products/company-wise-dsa
License Family: other
Last push: 2025-06-27T13:41:55+00:00

## Health v2 (maintenance only)
Score: 34/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 28, release rhythm 35, longevity 48
- inputs: {"age_days": 675, "days_push": 432, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5813, forks 1113 (observed 2026-08-28T04:09:29.943075+00:00)

## What it is
A curated collection of company-wise data structures and algorithms (DSA) interview problems, linking to problem sets for companies like Google, Amazon, and Microsoft along with pattern-solving tricks. It also includes supplementary resources such as DSA notes, pattern identification tricks, and internship calendars.

## Use cases
- prepare for coding interviews at specific companies
- find DSA questions asked by Google or Amazon
- learn to identify DSA problem patterns
- find resources for data structures and algorithms practice
- plan internship applications with a calendar
- study common interview tricks like sliding window and dynamic programming

## When to choose
- you are preparing for technical interviews at big tech companies
- you want a company-organized list of DSA problems
- you need guidance on which algorithm patterns to focus on per company

## When to avoid
- you need an interactive coding or judge platform
- you want a structured course with verified content rather than curated links
- you need problems for companies not listed in the repository

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: dsa, interview-preparation, coding-interviews, data-structures, algorithms, company-wise-questions, curated-list

## Member repositories
- nishant-Tiwari24/company-wise-dsa (main) score 34

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:29.943075+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:52:36.642315+00:00, confidence not recorded.
  - readme: https://github.com/nishant-Tiwari24/company-wise-dsa (fetched 2026-08-28T04:09:29.943075+00:00, sha 5dcdcc25ff49)
- Data as of 2026-08-30T08:39:29.467469+00:00.