Flipkart Incubator
@flipkart-incubator • Open source projects from flipkart-incubator. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.
Portfolio concentration
50%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
10 repositories updated in the last 90 days.
Leading language
Unknown
Portfolio mix
Unknown (11), Java (8), TypeScript (3)
Average size
1
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-08-25(17h ago)GitHub API fallback30 repositories
50%
of the visible star count comes from this organization's top three repositories.
1
stars per repository in this same snapshot.
Unknown
is the most common language here, with 10 repositories updated in the last 90 days.
Why this rank
This organization stands out because its public portfolio is relatively balanced across 30 repositories.
Balanced portfolio across 30 reposTop 3 share 50%
Organization pages work best when you separate portfolio breadth from flagship concentration. In Flipkart Incubator's case, the visible top three repositories account for about 50% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Unknown (11), Java (8), TypeScript (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | flipkart-incubator/CTDrive A tool which uses Google drive APIs internally and allows users to easily navigate through their files. This tool allows to maintain all organisation documents at one place similar to Confluence https://demo-ctdrive.netlify.app | TypeScript | 6 |
| 2 | flipkart-incubator/grayskull | Java | 4 |
| 3 | flipkart-incubator/ottoscalr Ottoscalr provides a drop-in component for autonomous management of HPAs | Go | 3 |
| 4 | flipkart-incubator/vllm A high-throughput and memory-efficient inference and serving engine for LLMs | Python | 2 |
| 5 | flipkart-incubator/hbase-cdc hbase-cdc is a hbase replicator based framework to build hbase change data capture with existing implementations of Apache Kafka and Apache Pulsar based cdc | Java | 2 |
| 6 | flipkart-incubator/rediscast Rediscast is an In-memory data grid, that synchronizes Entity changes in Redis server with all cluster nodes (JVM instances) within a short SLA. It uses Redis Streams for change data propagation. | Java | 2 |
| 7 | flipkart-incubator/molecule ML platform with seamless experiment tracking and sharing. Supports multiple languages and platforms, meta-learning constructs and MLOps. | CSS | 2 |
| 8 | flipkart-incubator/action-baton | Java | 1 |
| 9 | flipkart-incubator/prometheus-dashboard-porter Tool to migrate Grafana OpenTSDB Dashboards to Prometheus Dashboards | Go | 1 |
| 10 | flipkart-incubator/pibify | Java | 1 |
| 11 | flipkart-incubator/homebrew-taps | Ruby | 1 |
| 12 | flipkart-incubator/teleport The easiest, most secure way to access infrastructure. | 1 | |
| 13 | flipkart-incubator/livekit-sip SIP to WebRTC bridge for LiveKit | 0 | |
| 14 | flipkart-incubator/stunner-gateway-operator STUNner Kubernetes Gateway Operator | 0 | |
| 15 | flipkart-incubator/langfuse 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 | TypeScript | 0 |
| 16 | flipkart-incubator/drift | Java | 0 |
| 17 | flipkart-incubator/LLaMA-Factory Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) | 0 | |
| 18 | flipkart-incubator/vault-plugin-database-aerospike A Vault plugin for Aerospike | Go | 0 |
| 19 | flipkart-incubator/CT-Codepush | TypeScript | 0 |
| 20 | flipkart-incubator/oauth2-proxy A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers. | 0 | |
| 21 | flipkart-incubator/Triksha | Python | 0 |
| 22 | flipkart-incubator/kd-dae | Python | 0 |
| 23 | flipkart-incubator/proxy The Istio proxy components. | 0 | |
| 24 | flipkart-incubator/triton Feed Processing Service | 0 | |
| 25 | flipkart-incubator/ryuk Config-Based Unified Document Store Wrapper | 0 | |
| 26 | flipkart-incubator/hbase-client hbase-client is an abstraction over native async interface of hbase-client with many advanced features: routing capabilities, multi zone and or region constructs, integrated circuit breaker, intent writes, etc. | Java | 0 |
| 27 | flipkart-incubator/hbase-testbed hbase-testbed is a regression testing tool on hbase when induced with multiple fault scenarios to validate data consistency guarantees. | Java | 0 |
| 28 | flipkart-incubator/hbase-benchmark hbase-benchmark is a hbase benchmarking tool which can scale horizontally with the help of hazelcast and exposes rest based interface easier access for automation. | 0 | |
| 29 | flipkart-incubator/cgroupv2_exporter Prometheus exporter for Cgroup v2 metrics, written in Go with pluggable metric collectors similar to node_exporter. | 0 | |
| 30 | flipkart-incubator/kubectl-plugins Contains a group of kubectl plugins to download debugging related files from containers and upload them to a S3 compatible storage using kubectl commands (e.g. JFR dumps, heap dumps, GC logs, thread dumps) | 0 |
Next step after the organization read
Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
How to read this organization snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.