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  2. Repositories
  3. AkashSingh3031
  4. The-Complete-FAANG-Preparation
Jupyter NotebookNiche visibilityFresh activityNo linked package signalPartial snapshot

AkashSingh3031/The-Complete-FAANG-Preparation

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Jul 30, 2026

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.

Compare closest alternativesOpen GitHub

First read

Promising movement, but the picture is still partial

AkashSingh3031/The-Complete-FAANG-Preparation is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.

Visible

12K public stars in the current GitStar snapshot.

Needs a narrower context read

Active

Last commit Jul 27, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 12K stars
  • 2.6K forks
  • Last commit Jul 27, 2026
  • Package usage not mapped yet

Compare lens

labuladong/fucking-algorithm and krahets/hello-algo are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Jul 27, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

No linked package signal is expected for this project type, so the read leans more heavily on repository-level public signals.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for AkashSingh3031/The-Complete-FAANG-Preparation, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

algorithmsaptitudecollaboratecomputer-networkcppdata-structuresdbmsdsahacktoberfestinterview-questionsinterviewbit-solutionsjavajupyter-notebooklearnleetcodeleetcode-solutionsoperating-systempythonreadmesql
🎓The Professor🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines fresh update.

Fresh update
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 12K
30d ago7d ago1d agoNow
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars12K
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Jupyter Notebook repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

labuladong/fucking-algorithm

Shares the data category footprint with AkashSingh3031/The-Complete-FAANG-Preparation, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

krahets/hello-algo

Shares the data category footprint with AkashSingh3031/The-Complete-FAANG-Preparation, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

jwasham/coding-interview-university

Shares the data category footprint with AkashSingh3031/The-Complete-FAANG-Preparation, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Related alternative

trekhleb/javascript-algorithms

Shares the data category footprint with AkashSingh3031/The-Complete-FAANG-Preparation, so the comparison is closer to a same-problem decision than a same-language coincidence.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked fucking-algorithm + hello-algo as the closest next comparison from the related repository set.

Open compare presetCompare with fucking-algorithmCompare with hello-algo
Repo utility

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Wider nearby ecosystem

Compare with fucking-algorithmCompare with hello-algo
Markdown
135.1K stars
labuladong/fucking-algorithm

Crack LeetCode, not only how, but also why.

Java
129K stars
krahets/hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现

Unknown
357.5K stars
jwasham/coding-interview-university

A complete computer science study plan to become a software engineer.

JavaScript
196.3K stars
trekhleb/javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

C++
196.6K stars
tensorflow/tensorflow

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A collective list of free APIs

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of AkashSingh3031/The-Complete-FAANG-Preparation based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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