Search Results for "community%20detection%20algorithm"
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Showing 7 open source projects for "community%20detection%20algorithm"
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Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
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MongoDB Community Kubernetes Operator
MongoDB Community Kubernetes Operator
The MongoDB Kubernetes Operator is an open-source controller that automates deploying and managing MongoDB clusters on Kubernetes, enabling developers and operators to run production-grade MongoDB in cloud-native environments. By defining custom resource definitions (CRDs) for MongoDB resources, the operator lets you declare cluster topology, configuration, and scaling policies as Kubernetes manifests that can be applied with standard tools like kubectl and Helm. The operator handles... -
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Grafana
Leading open-source visualization and observability platform
...Grafana also includes built-in alerting, allowing you to define threshold-based rules and send notifications to external systems (e.g. Slack, PagerDuty, OpsGenie). Backed by a strong community (https://grafana.com/community/) and open governance, Grafana OSS is free to use, modify, and deploy under the AGPL-3.0 license. -
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion... -
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Beats
Lightweight data shippers of the Elastic Stack
...It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring), Metricbeat (for metrics), Packetbeat (for monitoring network data), and Winlogbeat (for Windows Event logs), with many other Beats created by the community. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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FerretDB
A truly Open Source MongoDB alternative
...The core of our solution is a stateless proxy, which converts MongoDB protocol queries to SQL, and uses PostgreSQL as a database engine. This will be compatible with MongoDB drivers, and should work as a drop-in replacement to MongoDB in many cases. Our vision is to enable the open source community and developers to reap the benefits of easy-to-use document databases, while staying away from vendor lock-in, and fauxpen licenses. We are open source advocates at heart, and we release FerretDB with an open source license recognized by the Open Source Initiative. -
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spicedb
Open Source, Google Zanzibar-inspired permissions database
...Until SpiceDB, the only developers with access to these workflows were employed by massive tech companies that could invest in building mature, but proprietary solutions. Now we have a community organized around sharing this technology so that the entire industry can benefit. -
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tiedot
A rudimentary implementation of a basic document database in Go
...It consistently achieves high throughput, swallow more than 120k records or 80k complicated queries per second with confidence. The newest version 3.4 comes with general performance and compatibility improvements. tiedot is a very small project in the large open source community, it is growing fast thanks to the 800+ stars and watchers, as well as many contributors for their feedback, comments, ideas and code.
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