Available worldwide
What is DSPy?
Framework enabling developers to construct AI systems using typed task definitions and modular components, with automatic optimization replacing manual prompt design.
DSPy pricing
We don't have DSPy's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What DSPy does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Agent / RAG framework
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✗
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✓
- Evaluation (offline / LLM-judge / human)
- ✓
- Prompt management + versioning
- ✓
- Experiment tracking / model registry
- ✗
- Model serving / inference endpoint
- ✗
- OpenTelemetry / OpenLLMetry compatible
- ✗
- Framework-agnostic
- ✓
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- Unknown
Platform & deployment
Independently observed- CLI
- macOS
- Web
- Linux
- Windows
- Self-hosted
Integrations (2)
Independently observed- OpenAI
- Anthropic
Security & compliance
Known vulnerabilities: 1 (1 in the last 12 months), max severity MODERATE sourcea count reflects scale & disclosure, not quality
DSPy FAQ
Common questions about DSPy, answered from independent, dated evidence.
What is DSPy?
A Python framework for developing AI applications through declarative components and modular patterns, with built-in optimization that automatically tunes system performance against defined metrics. It is indexed under MLOps & LLMOps Tools.
Source: https://dspy.ai
Is DSPy free to use?
DSPy is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.
Source: https://dspy.ai
What platforms does DSPy support?
DSPy supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://dspy.ai
Can DSPy be self-hosted?
Yes. DSPy can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://dspy.ai
Is DSPy open source?
Yes. DSPy is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is DSPy available?
DSPy is available worldwide. The vendor is headquartered in the United States.
Source: https://dspy.ai
DSPy alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- LangChainAn open platform for building and managing AI agentsmedium · 69%
- PortkeyUnified command center for operating AI systems reliably in productionmedium · 74%
- BasetenAn inference platform for deploying AI models to production with high performance and global scalemedium · 72%
- Together AIOpen-source model hosting and inference platformmedium · 59%
- Ollamamedium · 56%
- RayDistributed computing framework for scaling machine learning and Python applicationsmedium · 65%
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for DSPy, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package downloads | 65 | 0.14 | 8.8 | ✓ |
| Capabilities | 87 | 0.07 | 6.1 | ✓ |
| Development activity | 58 | 0.09 | 5.4 | ✓ |
| Release cadence | 91 | 0.05 | 4.7 | ✓ |
| Stars | 87 | 0.03 | 2.2 | ✓ |
| Integrations | 9 | 0.08 | 0.7 | ✓ |
| Dependent projects | 10 | 0.06 | 0.6 | ✓ |
| Security posture | 0 | 0.06 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 67 | mediumsource · 2026-10-15 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 64% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: framework · Evaluation: Yes · Managed cloud: No · Model serving: No · Self hostable: Yes · Multi provider: Yes | mediumsource · 2026-10-15 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-15 · 98% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | mediumsource · 2026-10-15 · 67% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-14 · 75% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-10-15 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 1 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dspy&per_page=100 · Last 12m: 1 · Max severity: MODERATE | highsource · 2026-10-15 · 90% |
Is DSPy the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank DSPy against the rest of the mlops & llmops tools we index, using the same dated evidence weighted your way.
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Is this your product?
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